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Failure rate

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5404: 2311: 5390: 1514: 875: 5428: 5416: 280:, it is not actually a probability because it can exceed 1. Erroneous expression of the failure rate in % could result in incorrect perception of the measure, especially if it would be measured from repairable systems and multiple systems with non-constant failure rates or different operation times. It can be defined with the aid of the 2294: 75:, which is also called the "useful life period". Because of this, it is incorrect to extrapolate MTBF to give an estimate of the service lifetime of a component, which will typically be much less than suggested by the MTBF due to the much higher failure rates in the "end-of-life wearout" part of the "bathtub curve". 2175:), the failure rate for a complex system is simply the sum of the individual failure rates of its components, as long as the units are consistent, e.g. failures per million hours. This permits testing of individual components or subsystems, whose failure rates are then added to obtain the total system failure rate. 165:
Mechanical movement is the predominant failure mechanism causing mechanical and electromechanical devices to wear out. For many devices, the wear-out failure point is measured by the number of cycles performed before the device fails, and can be discovered by cycle testing. In cycle testing, a device
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Time lag is one of the serious drawbacks of all failure rate estimations. Often by the time the failure rate data are available, the devices under study have become obsolete. Due to this drawback, failure-rate prediction methods have been developed. These methods may be used on newly designed devices
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Increasing failure rate is an intuitive concept caused by components wearing out. Decreasing failure rate describes a system which improves with age. Decreasing failure rates have been found in the lifetimes of spacecraft, Baker and Baker commenting that "those spacecraft that last, last on and on."
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Hazard rate and ROCOF (rate of occurrence of failures) are often incorrectly seen as the same and equal to the failure rate. To clarify; the more promptly items are repaired, the sooner they will break again, so the higher the ROCOF. The hazard rate is however independent of the time to repair and
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The failure rate of a system usually depends on time, with the rate varying over the life cycle of the system. For example, an automobile's failure rate in its fifth year of service may be many times greater than its failure rate during its first year of service. One does not expect to replace an
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Given a component database calibrated with field failure data that is reasonably accurate , the method can predict product level failure rate and failure mode data for a given application. The predictions have been shown to be more accurate than field warranty return analysis or even typical field
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Suppose it is desired to estimate the failure rate of a certain component. A test can be performed to estimate its failure rate. Ten identical components are each tested until they either fail or reach 1000 hours, at which time the test is terminated for that component. (The level of statistical
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From field failure rate reports, statistical analysis techniques can be used to estimate failure rates. For accurate failure rates the analyst must have a good understanding of equipment operation, procedures for data collection, the key environmental variables impacting failure rates, how the
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A decreasing failure rate (DFR) describes a phenomenon where the probability of an event in a fixed time interval in the future decreases over time. A decreasing failure rate can describe a period of "infant mortality" where earlier failures are eliminated or corrected and corresponds to the
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is â©Ÿ 1, and when the failure rate is increasing the coefficient of variation is â©œ 1. Note that this result only holds when the failure rate is defined for all t â©Ÿ 0 and that the converse result (coefficient of variation determining nature of failure rate) does not hold.
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Many organizations maintain internal databases of failure information on the devices or systems that they produce, which can be used to calculate failure rates for those devices or systems. For new devices or systems, the historical data for similar devices or systems can serve as a useful
67:(MTBF, 1/λ) is often reported instead of the failure rate. This is valid and useful if the failure rate may be assumed constant – often used for complex units / systems, electronics – and is a general agreement in some reliability standards (Military and Aerospace). It does in this case 1146: 659: 2099:
with DFR renewal function, inter-renewal times are concave. Brown conjectured the converse, that DFR is also necessary for the inter-renewal times to be concave, however it has been shown that this conjecture holds neither in the discrete case nor in the continuous case.
2156:) rate of a device is the number of failures that can be expected in one billion (10) device-hours of operation. (E.g. 1000 devices for 1 million hours, or 1 million devices for 1000 hours each, or some other combination.) This term is used particularly by the 2182:
improves the mission failure rate, but makes the series failure rate (also called the logistics failure rate) worse—the extra components improve the mean time between critical failures (MTBCF), even though the mean time before something fails is worse.
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The most accurate source of data is to test samples of the actual devices or systems in order to generate failure data. This is often prohibitively expensive or impractical, so that the previous data sources are often used
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that provides failure rate data for many military electronic components. Several failure rate data sources are available commercially that focus on commercial components, including some non-electronic components.
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The reason for the preferred use for MTBF numbers is that the use of large positive numbers (such as 2000 hours) is more intuitive and easier to remember than very small numbers (such as 0.0005 per hour).
90:, where the time to recover from failure can be neglected and the likelihood of failure remains constant with respect to time, the failure rate is simply the multiplicative inverse of the MTBF (1/λ). 1394: 2979: 421: 108:
Failure rates are important factors in the insurance, finance, commerce and regulatory industries and fundamental to the design of safe systems in a wide variety of applications.
2289:{\displaystyle {\frac {6{\text{ failures}}}{7502{\text{ hours}}}}=0.0007998\,{\frac {\text{failures}}{\text{hour}}}=799.8\times 10^{-6}\,{\frac {\text{failures}}{\text{hour}}},} 2420:. Proceedings of the 2014 International Symposium - BEYOND REGULATORY COMPLIANCE, MAKING SAFETY SECOND NATURE, Hilton College Station-Conference Center, College Station, Texas. 733: 1654: 332: 254: 981: 687: 3108: 2345: 807: 760: 172: 1959: 1182: 954: 905: 860: 450: 4525: 1306: 82:
The MTBF is an important system parameter in systems where failure rate needs to be managed, in particular for safety systems. The MTBF appears frequently in the
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Under certain engineering assumptions (e.g. besides the above assumptions for a constant failure rate, the assumption that the considered system has no relevant
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is cycled as rapidly as practical until it fails. When a collection of these devices are tested, the test will run until 10% of the units fail dangerously.
3445: 2370: 4578: 5017: 1198: 2459: 3440: 3140: 1141:{\displaystyle h(t)=\lim _{\Delta t\to 0}{\frac {R(t)-R(t+\Delta t)}{\Delta t\cdot R(t)}}=-{\frac {\mathrm {d} }{\mathrm {d} t}}\ln R(t).} 1816: 203:
failure analysis given that these methods depend on reports that typically do not have sufficient detail information in failure records.
4044: 3192: 219:, divided by the total time expended by that population, during a particular measurement interval under stated conditions. (MacDiarmid, 5432: 1405: 654:{\displaystyle \lambda (t)={\frac {R(t_{1})-R(t_{2})}{(t_{2}-t_{1})\cdot R(t_{1})}}={\frac {R(t)-R(t+\Delta t)}{\Delta t\cdot R(t)}}\!} 2805: 1967: 4827: 4719: 2988: 2739: 1528: 3093: 5464: 5005: 4879: 1771:
Thus, for an exponential failure distribution, the hazard rate is a constant with respect to time (that is, the distribution is "
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is the most common unit in practice. Other units, such as miles, revolutions, etc., can also be used in place of "time" units.
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Handbooks of failure rate data for various components are available from government and commercial sources. MIL-HDBK-217F,
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to predict the device's failure rates and failure modes. Two approaches have become well known, Cycle Testing and FMEDA.
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design requirements, and governs frequency of required system maintenance and inspections. In special processes called
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as failures per million, or 10, especially for individual components, since their failure rates are often very low.
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Combining field failure data with new instrument design margins to predict failure rates for SIS Verification
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Exponential failure density functions. Each of these has a (different) constant hazard function (see text).
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Baker, J. C.; Baker, G. A. S. . (1980). "Impact of the space environment on spacecraft lifetimes".
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equipment is used at the system level, and how the failure data will be used by system designers.
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W. M. Goble, "Field Failure Data – the Good, the Bad and the Ugly," exida, Sellersville, PA
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Saleh, Joseph Homer; Castet, Jean-François (2011). "On Time, Reliability, and Spacecraft".
785: 738: 5256: 5000: 4862: 4789: 4464: 4338: 4311: 4288: 4257: 3884: 3879: 3833: 3563: 3214: 3112: 3097: 3070: 2853: 2480:"Bounds, Inequalities, and Monotonicity Properties for Some Specialized Renewal Processes" 2096: 1935: 1158: 930: 881: 836: 426: 87: 41:
or component fails, expressed in failures per unit of time. It is usually denoted by the
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The reliability of aircraft air conditioning systems were individually found to have an
1634:{\displaystyle F(t)=\int _{0}^{t}\lambda e^{-\lambda \tau }\,d\tau =1-e^{-\lambda t},\!} 5489: 5205: 5200: 3663: 3593: 3239: 3090: 1772: 816: 765: 337: 263: 42: 2782: 2524:"DFR Property of First-Passage Times and its Preservation Under Geometric Compounding" 1308:
is the failure time. The failure distribution function is the integral of the failure
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Military Handbook, “Reliability Prediction of Electronic Equipment, MIL-HDBK-217F, 2
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Proschan, F. (1963). "Theoretical Explanation of Observed Decreasing Failure Rate".
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The relationship of FIT to MTBF may be expressed as: MTBF = 1,000,000,000 x 1/FIT.
2431: 5347: 5309: 4992: 4893: 4755: 4568: 4535: 4027: 3944: 3939: 3583: 3540: 3520: 3500: 3490: 3259: 2894:(Fourth ed.). Englewood Cliffs, New Jersey: Prentice-Hall. pp. 26–32. 2604:
Yu, Y. (2011). "Concave renewal functions do not imply DFR interrenewal times".
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is the time to (first) failure distribution (i.e. the failure density function).
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and trucking is "mean distance between failures", a variation which attempts to
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Calculating the failure rate for ever smaller intervals of time results in the
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Knowles, D. I. (1995). "Should We Move Away From 'Acceptable Failure Rate'?".
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that describes the probability of failure (at least) up to and including time
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Failure rate data can be obtained in several ways. The most common means are:
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that a failure occurs in a specified interval given no failure before time
2764:"A note on comparing response times in the M/GI/1/FB and M/GI/1/PS queues" 3862: 3480: 3357: 3352: 3347: 3319: 3028:
System Reliability Theory; Models, Statistical methods, and Applications
1276:{\displaystyle \operatorname {P} (T\leq t)=F(t)=1-R(t),\quad t\geq 0.\!} 5367: 5068: 2673: 2590: 2549: 2505: 2335: 2330: 1804: 189:
The effect of each component failure mode on the product functionality,
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Safety Instrumented System Design: Techniques and Design Verification
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actual loaded distances to similar reliability needs and practices.
2565:"Further Monotonicity Properties for Specialized Renewal Processes" 1922:{\displaystyle h(t)={\frac {f(t)}{1-F(t)}}={\frac {F'(t)}{1-F(t)}}} 2618: 1512: 873: 813:, where the condition is that no failure has occurred before time 2885:, Research Triangle Park, NC: International Society of Automation 2866:"Mission Reliability and Logistics Reliability: A Design Paradox" 1503:{\displaystyle h(t)={\frac {f(t)}{1-F(t)}}={\frac {f(t)}{R(t)}}.} 3209: 2954:
Communications in Reliability Maintainability and Supportability
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is not considered in this example.) The results are as follows:
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The ability of any automatic diagnostics to detect the failure,
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An Introduction to Reliability and Maintainability Engineering
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Failure rates can be expressed using any measure of time, but
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Historical data about the device or system under consideration
3118: 2446:. Springer Series in Reliability Engineering. pp. 1–84. 2980:
Reliability Engineering and Risk Analysis: A Practical Guide
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Frequency with which an engineered system or component fails
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MacDiarmid, Preston; Morris, Seymour; et al. (n.d.).
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Electrical & Mechanical Component Reliability Handbook
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or 799.8 failures for every million hours of operation.
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A continuous failure rate depends on the existence of a
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The operational profile (environmental stress factors).
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The Customer Needs A Maintenance-Free Operating Period
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Autoregressive conditional heteroskedasticity (ARCH)
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by Hubert Kirrmann, ABB Research Center, Switzerland
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failure rate or we say instantaneous hazard rate as
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The design strength (de-rating, safety factors) and
2937:. New York: John Wiley & Sons. pp. 8–30. 2288: 2051: 1953: 1921: 1760: 1633: 1502: 1388: 1300: 1275: 1176: 1140: 975: 948: 899: 854: 825: 801: 774: 754: 727: 681: 653: 444: 415: 346: 326: 272: 248: 211:The failure rate can be defined as the following: 3105:Fault Tolerant Computing in Industrial Automation 2820:Xin Li; Michael C. Huang; Kai Shen; Lingkun Chu. 1630: 1385: 1272: 650: 56:exhaust pipe, overhaul the brakes, or have major 2079:Mixtures of DFR variables are DFR. Mixtures of 1009: 416:{\displaystyle \lambda (t)={\frac {f(t)}{R(t)}}} 4579:Multivariate adaptive regression splines (MARS) 2724:Spacecraft Reliability and Multi-State Failures 2444:Failure Rate Modelling for Reliability and Risk 2346:Failure modes, effects, and diagnostic analysis 1525:can be used to model the failure distribution ( 173:Failure modes, effects, and diagnostic analysis 2517: 2515: 139:Reliability Prediction of Electronic Equipment 3134: 3045:Turner, T.; Hockley, C.; Burdaky, R. (1997). 2178:Adding "redundant" components to eliminate a 8: 2798:Analysis of Queues: Methods and Applications 2416:Goble, William M.; Iwan van Beurden (2014). 334:, the probability of no failure before time 215:The total number of failures within an item 2473: 2471: 2442:Finkelstein, Maxim (2008). "Introduction". 2113:, and thus in the pooled population a DFR. 1529:List of important probability distributions 134:Government and commercial failure rate data 5188: 5175: 5092: 4898: 4767: 4742: 4513: 4489: 4217: 4000: 3801: 3788: 3571: 3558: 3197: 3188: 3175: 3141: 3127: 3119: 2960:(1). International RMS Committee, USA: 23. 2647: 2645: 1399:The hazard function can be defined now as 2617: 2580: 2539: 2495: 2371:Reliability theory of aging and longevity 2273: 2272: 2263: 2240: 2239: 2225: 2215: 2209: 2207: 2016: 2011: 1998: 1969: 1937: 1876: 1835: 1818: 1803:it is monotonic decreasing (analogous to 1735: 1718: 1708: 1673: 1656: 1615: 1595: 1583: 1570: 1565: 1544: 1465: 1424: 1407: 1375: 1357: 1352: 1331: 1293: 1291: 1200: 1160: 1106: 1100: 1098: 1027: 1012: 991: 965: 932: 883: 838: 818: 793: 787: 767: 746: 740: 716: 703: 694: 671: 585: 570: 548: 535: 517: 495: 482: 465: 428: 381: 364: 339: 289: 265: 232: 2121:When the failure rate is decreasing the 1775:"). For other distributions, such as a 1648:. The hazard rate function for this is: 2933:Kapur, K. C.; Lamberson, L. R. (1977). 2913:. Boston: McGraw-Hill. pp. 23–32. 2392: 1807:), while for many it is not monotonic. 5105:Kaplan–Meier estimator (product limit) 3066: 3056: 2977:; Kaminskiy, M.; Krivtsov, V. (2010). 2141:Failure rates are often expressed in 284:, also called the survival function, 7: 5415: 5115:Accelerated failure time (AFT) model 2892:Logistics Engineering and Management 870:Failure rate in the continuous sense 186:The failure modes of each component, 183:The functionality of each component, 5427: 4710:Analysis of variance (ANOVA, anova) 3077:U.S. Department of Defense, (1991) 3030:. New York: John Wiley & Sons. 1810:Solving the differential equation 4805:Cochran–Mantel–Haenszel statistics 3431:Pearson product-moment correlation 1202: 1107: 1101: 1068: 1057: 1013: 967: 673: 626: 615: 207:Failure rate in the discrete sense 25: 3026:Rausand, M.; Hoyland, A. (2004). 2998:Mondro, Mitchell J. (June 2002). 2935:Reliability in Engineering Design 2689:Journal of Spacecraft and Rockets 71:relate to the flat region of the 5426: 5414: 5402: 5389: 5388: 3007:IEEE Transactions on Reliability 2309: 1534:exponential failure distribution 1186:cumulative distribution function 5064:Least-squares spectral analysis 2890:Blanchard, Benjamin S. (1992). 1262: 4045:Mean-unbiased minimum-variance 2666:10.1080/00401706.1963.10490105 2606:Journal of Applied Probability 2085:hyperexponentially distributed 2031: 2025: 1980: 1974: 1948: 1942: 1913: 1907: 1893: 1887: 1867: 1861: 1847: 1841: 1829: 1823: 1699: 1693: 1685: 1679: 1667: 1661: 1555: 1549: 1491: 1485: 1477: 1471: 1456: 1450: 1436: 1430: 1418: 1412: 1372: 1366: 1342: 1336: 1256: 1250: 1235: 1229: 1220: 1208: 1171: 1165: 1132: 1126: 1086: 1080: 1063: 1048: 1039: 1033: 1019: 1002: 996: 943: 937: 894: 888: 849: 843: 722: 696: 644: 638: 621: 606: 597: 591: 576: 563: 554: 528: 523: 510: 501: 488: 476: 470: 439: 433: 407: 401: 393: 387: 375: 369: 321: 315: 300: 294: 243: 237: 48:(lambda) and is often used in 1: 5358:Geographic information system 4574:Simultaneous equations models 2783:10.1016/S0167-6377(03)00061-0 728:{\displaystyle (t_{2}-t_{1})} 256:, is often thought of as the 4541:Coefficient of determination 4152:Uniformly most powerful test 2909:Ebeling, Charles E. (1997). 2522:Shanthikumar, J. G. (1988). 1646:exponential density function 866:of the logistic delay time. 93:A similar ratio used in the 5110:Proportional hazards models 5054:Spectral density estimation 5036:Vector autoregression (VAR) 4470:Maximum posterior estimator 3702:Randomized controlled trial 3049:. Leatherhead, Surrey, UK: 2983:(2nd ed.). CRC Press. 2771:Operations Research Letters 2452:10.1007/978-1-84800-986-8_1 907:plotted for a selection of 327:{\displaystyle R(t)=1-F(t)} 249:{\displaystyle \lambda (t)} 227:Although the failure rate, 180:All components of a design, 60:problems in a new vehicle. 5506: 4870:Multivariate distributions 3290:Average absolute deviation 2881:Goble, William M. (2018), 2800:. CRC Press. p. 703. 2796:Gautam, Natarajan (2012). 2199:Estimated failure rate is 1799:), for others such as the 1789:deterministic distribution 1785:hypertabastic distribution 909:log-logistic distributions 65:mean time between failures 5384: 5187: 5174: 4858:Structural equation model 4766: 4741: 4512: 4488: 4220: 4194:Score/Lagrange multiplier 3800: 3787: 3609:Sample size determination 3570: 3557: 3187: 3174: 3156: 2732:10.1002/9781119994077.ch1 2569:The Annals of Probability 2528:The Annals of Probability 2484:The Annals of Probability 2081:exponentially distributed 1795:increasing (analogous to 1532:). A common model is the 1523:probability distributions 5353:Environmental statistics 4875:Elliptical distributions 4668:Generalized linear model 4597:Simple linear regression 4367:Hodges–Lehmann estimator 3824:Probability distribution 3733:Stochastic approximation 3295:Coefficient of variation 2123:coefficient of variation 2117:Coefficient of variation 2111:exponential distribution 976:{\displaystyle \Delta t} 682:{\displaystyle \Delta t} 5465:Reliability engineering 5013:Cross-correlation (XCF) 4621:Non-standard predictors 4055:Lehmann–ScheffĂ© theorem 3728:Adaptive clinical trial 3019:10.1109/TR.2002.1011521 2361:Reliability engineering 2356:Frequency of exceedance 2326:Annualized failure rate 2180:single point of failure 2063:Decreasing failure rate 1961:, it can be shown that 1781:log-normal distribution 811:conditional probability 809:. Note that this is a 50:reliability engineering 5409:Mathematics portal 5230:Engineering statistics 5138:Nelson–Aalen estimator 4715:Analysis of covariance 4602:Ordinary least squares 4526:Pearson product-moment 3930:Statistical functional 3841:Empirical distribution 3674:Controlled experiments 3403:Frequency distribution 3181:Descriptive statistics 2928:Federal Standard 1037C 2628:10.1239/jap/1308662647 2582:10.1214/aop/1176994317 2541:10.1214/aop/1176991910 2497:10.1214/aop/1176994773 2290: 2053: 1955: 1923: 1762: 1644:which is based on the 1635: 1518: 1504: 1390: 1302: 1277: 1178: 1142: 977: 950: 912: 901: 856: 827: 803: 776: 756: 729: 683: 655: 446: 417: 348: 328: 274: 250: 5325:Population statistics 5267:System identification 5001:Autocorrelation (ACF) 4929:Exponential smoothing 4843:Discriminant analysis 4838:Canonical correlation 4702:Partition of variance 4564:Regression validation 4408:(Jonckheere–Terpstra) 4307:Likelihood-ratio test 3996:Frequentist inference 3908:Location–scale family 3829:Sampling distribution 3794:Statistical inference 3761:Cross-sectional study 3748:Observational studies 3707:Randomized experiment 3536:Stem-and-leaf display 3338:Central limit theorem 2291: 2083:random variables are 2054: 1956: 1924: 1763: 1636: 1516: 1505: 1391: 1303: 1278: 1179: 1143: 978: 951: 902: 877: 857: 828: 804: 802:{\displaystyle t_{2}} 777: 757: 755:{\displaystyle t_{1}} 730: 684: 666:over a time interval 656: 447: 418: 349: 329: 275: 251: 5460:Engineering failures 5248:Probabilistic design 4833:Principal components 4676:Exponential families 4628:Nonlinear regression 4607:General linear model 4569:Mixed effects models 4559:Errors and residuals 4536:Confounding variable 4438:Bayesian probability 4416:Van der Waerden test 4406:Ordered alternative 4171:Multiple comparisons 4050:Rao–Blackwellization 4013:Estimating equations 3969:Statistical distance 3687:Factorial experiment 3220:Arithmetic-Geometric 3091:Bathtub curve issues 2834:"Reliability Basics" 2381:Weibull distribution 2206: 2143:engineering notation 1968: 1954:{\displaystyle F(t)} 1936: 1817: 1777:Weibull distribution 1655: 1543: 1406: 1330: 1290: 1199: 1177:{\displaystyle F(t)} 1159: 1153:failure distribution 990: 983:approaches to zero: 964: 949:{\displaystyle h(t)} 931: 900:{\displaystyle h(t)} 882: 862:in the denominator. 855:{\displaystyle R(t)} 837: 817: 786: 766: 739: 693: 670: 464: 445:{\displaystyle f(t)} 427: 363: 338: 288: 282:reliability function 264: 231: 95:transport industries 5320:Official statistics 5243:Methods engineering 4924:Seasonal adjustment 4692:Poisson regressions 4612:Bayesian regression 4551:Regression analysis 4531:Partial correlation 4503:Regression analysis 4102:Prediction interval 4097:Likelihood interval 4087:Confidence interval 4079:Interval estimation 4040:Unbiased estimators 3858:Model specification 3738:Up-and-down designs 3426:Partial correlation 3382:Index of dispersion 3300:Interquartile range 2967:Reliability Toolkit 2701:1980JSpRo..17..479B 2074:decreasing function 2021: 1801:Pareto distribution 1575: 1362: 1301:{\displaystyle {T}} 956:. This becomes the 5480:Statistical ratios 5340:Spatial statistics 5220:Medical statistics 5120:First hitting time 5074:Whittle likelihood 4725:Degrees of freedom 4720:Multivariate ANOVA 4653:Heteroscedasticity 4465:Bayesian estimator 4430:Bayesian inference 4279:Kolmogorov–Smirnov 4164:Randomization test 4134:Testing hypotheses 4107:Tolerance interval 4018:Maximum likelihood 3913:Exponential family 3846:Density estimation 3806:Statistical theory 3766:Natural experiment 3712:Scientific control 3629:Survey methodology 3315:Standard deviation 3111:2014-03-26 at the 3096:2014-11-29 at the 3051:ERA Technology Ltd 2852:2016-03-03 at the 2760:Harchol-Balter, M. 2563:Brown, M. (1981). 2478:Brown, M. (1980). 2366:Reliability theory 2351:Force of mortality 2317:Mathematics portal 2286: 2068:situation where λ( 2049: 2007: 1951: 1919: 1758: 1631: 1561: 1519: 1500: 1386: 1348: 1298: 1273: 1174: 1138: 1026: 973: 946: 913: 897: 852: 823: 799: 772: 752: 725: 679: 651: 442: 413: 344: 324: 270: 246: 5470:Survival analysis 5455:Actuarial science 5442: 5441: 5380: 5379: 5376: 5375: 5315:National accounts 5285:Actuarial science 5277:Social statistics 5170: 5169: 5166: 5165: 5162: 5161: 5097:Survival function 5082: 5081: 4944:Granger causality 4785:Contingency table 4760:Survival analysis 4737: 4736: 4733: 4732: 4589:Linear regression 4484: 4483: 4480: 4479: 4455:Credible interval 4424: 4423: 4207: 4206: 4023:Method of moments 3892:Parametric family 3853:Statistical model 3783: 3782: 3779: 3778: 3697:Random assignment 3619:Statistical power 3553: 3552: 3549: 3548: 3398:Contingency table 3368: 3367: 3235:Generalized/power 2461:978-1-84800-985-1 2376:Survival analysis 2281: 2280: 2277: 2248: 2247: 2244: 2231: 2228: 2218: 2091:Renewal processes 1917: 1871: 1747: 1703: 1495: 1460: 1115: 1090: 1008: 826:{\displaystyle t} 775:{\displaystyle t} 648: 580: 411: 347:{\displaystyle t} 273:{\displaystyle t} 143:military standard 112:Failure rate data 88:renewal processes 63:In practice, the 39:engineered system 16:(Redirected from 5497: 5430: 5429: 5418: 5417: 5407: 5406: 5392: 5391: 5295:Crime statistics 5189: 5176: 5093: 5059:Fourier analysis 5046:Frequency domain 5026: 4973: 4939:Structural break 4899: 4848:Cluster analysis 4795:Log-linear model 4768: 4743: 4684: 4658:Homoscedasticity 4514: 4490: 4409: 4401: 4393: 4392:(Kruskal–Wallis) 4377: 4362: 4317:Cross validation 4302: 4284:Anderson–Darling 4231: 4218: 4189:Likelihood-ratio 4181:Parametric tests 4159:Permutation test 4142:1- & 2-tails 4033:Minimum distance 4005:Point estimation 4001: 3952:Optimal decision 3903: 3802: 3789: 3771:Quasi-experiment 3721:Adaptive designs 3572: 3559: 3436:Rank correlation 3198: 3189: 3176: 3143: 3136: 3129: 3120: 3074: 3068: 3064: 3062: 3054: 3041: 3022: 3004: 2994: 2970: 2961: 2948: 2924: 2905: 2886: 2869: 2863: 2857: 2843: 2837: 2831: 2825: 2818: 2812: 2811: 2793: 2787: 2786: 2768: 2752: 2746: 2745: 2719: 2713: 2712: 2684: 2678: 2677: 2649: 2640: 2639: 2621: 2601: 2595: 2594: 2584: 2560: 2554: 2553: 2543: 2519: 2510: 2509: 2499: 2475: 2466: 2465: 2439: 2433: 2428: 2422: 2421: 2413: 2407: 2406: 2397: 2319: 2314: 2313: 2295: 2293: 2292: 2287: 2282: 2278: 2275: 2274: 2271: 2270: 2249: 2245: 2242: 2241: 2232: 2230: 2229: 2226: 2220: 2219: 2216: 2210: 2150:Failures In Time 2058: 2056: 2055: 2050: 2045: 2044: 2040: 2020: 2015: 1960: 1958: 1957: 1952: 1928: 1926: 1925: 1920: 1918: 1916: 1896: 1886: 1877: 1872: 1870: 1850: 1836: 1767: 1765: 1764: 1759: 1748: 1746: 1745: 1730: 1729: 1728: 1709: 1704: 1702: 1688: 1674: 1640: 1638: 1637: 1632: 1626: 1625: 1594: 1593: 1574: 1569: 1509: 1507: 1506: 1501: 1496: 1494: 1480: 1466: 1461: 1459: 1439: 1425: 1395: 1393: 1392: 1387: 1361: 1356: 1307: 1305: 1304: 1299: 1297: 1282: 1280: 1279: 1274: 1183: 1181: 1180: 1175: 1147: 1145: 1144: 1139: 1116: 1114: 1110: 1104: 1099: 1091: 1089: 1066: 1028: 1025: 982: 980: 979: 974: 955: 953: 952: 947: 921: 920: 906: 904: 903: 898: 878:Hazard function 861: 859: 858: 853: 832: 830: 829: 824: 808: 806: 805: 800: 798: 797: 781: 779: 778: 773: 761: 759: 758: 753: 751: 750: 734: 732: 731: 726: 721: 720: 708: 707: 688: 686: 685: 680: 660: 658: 657: 652: 649: 647: 624: 586: 581: 579: 575: 574: 553: 552: 540: 539: 526: 522: 521: 500: 499: 483: 451: 449: 448: 443: 422: 420: 419: 414: 412: 410: 396: 382: 353: 351: 350: 345: 333: 331: 330: 325: 279: 277: 276: 271: 255: 253: 252: 247: 97:, especially in 21: 5505: 5504: 5500: 5499: 5498: 5496: 5495: 5494: 5445: 5444: 5443: 5438: 5401: 5372: 5334: 5271: 5257:quality control 5224: 5206:Clinical trials 5183: 5158: 5142: 5130:Hazard function 5124: 5078: 5040: 5024: 4987: 4983:Breusch–Godfrey 4971: 4948: 4888: 4863:Factor analysis 4809: 4790:Graphical model 4762: 4729: 4696: 4682: 4662: 4616: 4583: 4545: 4508: 4507: 4476: 4420: 4407: 4399: 4391: 4375: 4360: 4339:Rank statistics 4333: 4312:Model selection 4300: 4258:Goodness of fit 4252: 4229: 4203: 4175: 4128: 4073: 4062:Median unbiased 3990: 3901: 3834:Order statistic 3796: 3775: 3742: 3716: 3668: 3623: 3566: 3564:Data collection 3545: 3457: 3412: 3386: 3364: 3324: 3276: 3193:Continuous data 3183: 3170: 3152: 3147: 3113:Wayback Machine 3098:Wayback Machine 3087: 3065: 3055: 3044: 3038: 3025: 3002: 2997: 2991: 2973: 2964: 2951: 2945: 2932: 2921: 2908: 2902: 2889: 2880: 2877: 2875:Further reading 2872: 2864: 2860: 2854:Wayback Machine 2844: 2840: 2832: 2828: 2819: 2815: 2808: 2795: 2794: 2790: 2766: 2754: 2753: 2749: 2742: 2721: 2720: 2716: 2709:10.2514/3.28040 2686: 2685: 2681: 2651: 2650: 2643: 2603: 2602: 2598: 2562: 2561: 2557: 2521: 2520: 2513: 2477: 2476: 2469: 2462: 2441: 2440: 2436: 2429: 2425: 2415: 2414: 2410: 2399: 2398: 2394: 2390: 2385: 2315: 2308: 2305: 2259: 2221: 2211: 2204: 2203: 2189: 2169: 2132: 2119: 2106: 2097:renewal process 2093: 2065: 2003: 1999: 1966: 1965: 1934: 1933: 1897: 1879: 1878: 1851: 1837: 1815: 1814: 1731: 1714: 1710: 1689: 1675: 1653: 1652: 1611: 1579: 1541: 1540: 1481: 1467: 1440: 1426: 1404: 1403: 1328: 1327: 1288: 1287: 1197: 1196: 1157: 1156: 1105: 1067: 1029: 988: 987: 962: 961: 929: 928: 919:hazard function 918: 917: 880: 879: 872: 835: 834: 815: 814: 789: 784: 783: 764: 763: 742: 737: 736: 712: 699: 691: 690: 668: 667: 625: 587: 566: 544: 531: 527: 513: 491: 484: 462: 461: 425: 424: 397: 383: 361: 360: 336: 335: 286: 285: 262: 261: 229: 228: 209: 114: 28: 23: 22: 18:Hazard function 15: 12: 11: 5: 5503: 5501: 5493: 5492: 5487: 5485:Error measures 5482: 5477: 5472: 5467: 5462: 5457: 5447: 5446: 5440: 5439: 5437: 5436: 5424: 5412: 5398: 5385: 5382: 5381: 5378: 5377: 5374: 5373: 5371: 5370: 5365: 5360: 5355: 5350: 5344: 5342: 5336: 5335: 5333: 5332: 5327: 5322: 5317: 5312: 5307: 5302: 5297: 5292: 5287: 5281: 5279: 5273: 5272: 5270: 5269: 5264: 5259: 5250: 5245: 5240: 5234: 5232: 5226: 5225: 5223: 5222: 5217: 5212: 5203: 5201:Bioinformatics 5197: 5195: 5185: 5184: 5179: 5172: 5171: 5168: 5167: 5164: 5163: 5160: 5159: 5157: 5156: 5150: 5148: 5144: 5143: 5141: 5140: 5134: 5132: 5126: 5125: 5123: 5122: 5117: 5112: 5107: 5101: 5099: 5090: 5084: 5083: 5080: 5079: 5077: 5076: 5071: 5066: 5061: 5056: 5050: 5048: 5042: 5041: 5039: 5038: 5033: 5028: 5020: 5015: 5010: 5009: 5008: 5006:partial (PACF) 4997: 4995: 4989: 4988: 4986: 4985: 4980: 4975: 4967: 4962: 4956: 4954: 4953:Specific tests 4950: 4949: 4947: 4946: 4941: 4936: 4931: 4926: 4921: 4916: 4911: 4905: 4903: 4896: 4890: 4889: 4887: 4886: 4885: 4884: 4883: 4882: 4867: 4866: 4865: 4855: 4853:Classification 4850: 4845: 4840: 4835: 4830: 4825: 4819: 4817: 4811: 4810: 4808: 4807: 4802: 4800:McNemar's test 4797: 4792: 4787: 4782: 4776: 4774: 4764: 4763: 4746: 4739: 4738: 4735: 4734: 4731: 4730: 4728: 4727: 4722: 4717: 4712: 4706: 4704: 4698: 4697: 4695: 4694: 4678: 4672: 4670: 4664: 4663: 4661: 4660: 4655: 4650: 4645: 4640: 4638:Semiparametric 4635: 4630: 4624: 4622: 4618: 4617: 4615: 4614: 4609: 4604: 4599: 4593: 4591: 4585: 4584: 4582: 4581: 4576: 4571: 4566: 4561: 4555: 4553: 4547: 4546: 4544: 4543: 4538: 4533: 4528: 4522: 4520: 4510: 4509: 4506: 4505: 4500: 4494: 4493: 4486: 4485: 4482: 4481: 4478: 4477: 4475: 4474: 4473: 4472: 4462: 4457: 4452: 4451: 4450: 4445: 4434: 4432: 4426: 4425: 4422: 4421: 4419: 4418: 4413: 4412: 4411: 4403: 4395: 4379: 4376:(Mann–Whitney) 4371: 4370: 4369: 4356: 4355: 4354: 4343: 4341: 4335: 4334: 4332: 4331: 4330: 4329: 4324: 4319: 4309: 4304: 4301:(Shapiro–Wilk) 4296: 4291: 4286: 4281: 4276: 4268: 4262: 4260: 4254: 4253: 4251: 4250: 4242: 4233: 4221: 4215: 4213:Specific tests 4209: 4208: 4205: 4204: 4202: 4201: 4196: 4191: 4185: 4183: 4177: 4176: 4174: 4173: 4168: 4167: 4166: 4156: 4155: 4154: 4144: 4138: 4136: 4130: 4129: 4127: 4126: 4125: 4124: 4119: 4109: 4104: 4099: 4094: 4089: 4083: 4081: 4075: 4074: 4072: 4071: 4066: 4065: 4064: 4059: 4058: 4057: 4052: 4037: 4036: 4035: 4030: 4025: 4020: 4009: 4007: 3998: 3992: 3991: 3989: 3988: 3983: 3978: 3977: 3976: 3966: 3961: 3960: 3959: 3949: 3948: 3947: 3942: 3937: 3927: 3922: 3917: 3916: 3915: 3910: 3905: 3889: 3888: 3887: 3882: 3877: 3867: 3866: 3865: 3860: 3850: 3849: 3848: 3838: 3837: 3836: 3826: 3821: 3816: 3810: 3808: 3798: 3797: 3792: 3785: 3784: 3781: 3780: 3777: 3776: 3774: 3773: 3768: 3763: 3758: 3752: 3750: 3744: 3743: 3741: 3740: 3735: 3730: 3724: 3722: 3718: 3717: 3715: 3714: 3709: 3704: 3699: 3694: 3689: 3684: 3678: 3676: 3670: 3669: 3667: 3666: 3664:Standard error 3661: 3656: 3651: 3650: 3649: 3644: 3633: 3631: 3625: 3624: 3622: 3621: 3616: 3611: 3606: 3601: 3596: 3594:Optimal design 3591: 3586: 3580: 3578: 3568: 3567: 3562: 3555: 3554: 3551: 3550: 3547: 3546: 3544: 3543: 3538: 3533: 3528: 3523: 3518: 3513: 3508: 3503: 3498: 3493: 3488: 3483: 3478: 3473: 3467: 3465: 3459: 3458: 3456: 3455: 3450: 3449: 3448: 3443: 3433: 3428: 3422: 3420: 3414: 3413: 3411: 3410: 3405: 3400: 3394: 3392: 3391:Summary tables 3388: 3387: 3385: 3384: 3378: 3376: 3370: 3369: 3366: 3365: 3363: 3362: 3361: 3360: 3355: 3350: 3340: 3334: 3332: 3326: 3325: 3323: 3322: 3317: 3312: 3307: 3302: 3297: 3292: 3286: 3284: 3278: 3277: 3275: 3274: 3269: 3264: 3263: 3262: 3257: 3252: 3247: 3242: 3237: 3232: 3227: 3225:Contraharmonic 3222: 3217: 3206: 3204: 3195: 3185: 3184: 3179: 3172: 3171: 3169: 3168: 3163: 3157: 3154: 3153: 3148: 3146: 3145: 3138: 3131: 3123: 3117: 3116: 3101: 3086: 3085:External links 3083: 3082: 3081: 3075: 3042: 3036: 3023: 3013:(2): 166–167. 2995: 2989: 2971: 2962: 2949: 2943: 2930: 2925: 2919: 2906: 2900: 2887: 2876: 2873: 2871: 2870: 2858: 2838: 2826: 2813: 2807:978-1439806586 2806: 2788: 2758:; Bansal, N.; 2747: 2740: 2714: 2679: 2660:(3): 375–383. 2641: 2612:(2): 583–588. 2596: 2575:(5): 891–895. 2555: 2534:(1): 397–406. 2511: 2490:(2): 227–240. 2467: 2460: 2434: 2423: 2408: 2405:. exida. 2006. 2391: 2389: 2386: 2384: 2383: 2378: 2373: 2368: 2363: 2358: 2353: 2348: 2343: 2338: 2333: 2328: 2322: 2321: 2320: 2304: 2301: 2297: 2296: 2285: 2269: 2266: 2262: 2258: 2255: 2252: 2238: 2235: 2224: 2217: failures 2214: 2188: 2185: 2168: 2165: 2131: 2128: 2118: 2115: 2105: 2102: 2092: 2089: 2064: 2061: 2060: 2059: 2048: 2043: 2039: 2036: 2033: 2030: 2027: 2024: 2019: 2014: 2010: 2006: 2002: 1997: 1994: 1991: 1988: 1985: 1982: 1979: 1976: 1973: 1950: 1947: 1944: 1941: 1930: 1929: 1915: 1912: 1909: 1906: 1903: 1900: 1895: 1892: 1889: 1885: 1882: 1875: 1869: 1866: 1863: 1860: 1857: 1854: 1849: 1846: 1843: 1840: 1834: 1831: 1828: 1825: 1822: 1769: 1768: 1757: 1754: 1751: 1744: 1741: 1738: 1734: 1727: 1724: 1721: 1717: 1713: 1707: 1701: 1698: 1695: 1692: 1687: 1684: 1681: 1678: 1672: 1669: 1666: 1663: 1660: 1642: 1641: 1629: 1624: 1621: 1618: 1614: 1610: 1607: 1604: 1601: 1598: 1592: 1589: 1586: 1582: 1578: 1573: 1568: 1564: 1560: 1557: 1554: 1551: 1548: 1511: 1510: 1499: 1493: 1490: 1487: 1484: 1479: 1476: 1473: 1470: 1464: 1458: 1455: 1452: 1449: 1446: 1443: 1438: 1435: 1432: 1429: 1423: 1420: 1417: 1414: 1411: 1397: 1396: 1384: 1381: 1378: 1374: 1371: 1368: 1365: 1360: 1355: 1351: 1347: 1344: 1341: 1338: 1335: 1296: 1284: 1283: 1271: 1268: 1265: 1261: 1258: 1255: 1252: 1249: 1246: 1243: 1240: 1237: 1234: 1231: 1228: 1225: 1222: 1219: 1216: 1213: 1210: 1207: 1204: 1173: 1170: 1167: 1164: 1149: 1148: 1137: 1134: 1131: 1128: 1125: 1122: 1119: 1113: 1109: 1103: 1097: 1094: 1088: 1085: 1082: 1079: 1076: 1073: 1070: 1065: 1062: 1059: 1056: 1053: 1050: 1047: 1044: 1041: 1038: 1035: 1032: 1024: 1021: 1018: 1015: 1011: 1007: 1004: 1001: 998: 995: 972: 969: 945: 942: 939: 936: 896: 893: 890: 887: 871: 868: 851: 848: 845: 842: 822: 796: 792: 771: 749: 745: 724: 719: 715: 711: 706: 702: 698: 678: 675: 664: 663: 662: 661: 646: 643: 640: 637: 634: 631: 628: 623: 620: 617: 614: 611: 608: 605: 602: 599: 596: 593: 590: 584: 578: 573: 569: 565: 562: 559: 556: 551: 547: 543: 538: 534: 530: 525: 520: 516: 512: 509: 506: 503: 498: 494: 490: 487: 481: 478: 475: 472: 469: 456: 455: 454: 453: 441: 438: 435: 432: 409: 406: 403: 400: 395: 392: 389: 386: 380: 377: 374: 371: 368: 343: 323: 320: 317: 314: 311: 308: 305: 302: 299: 296: 293: 269: 245: 242: 239: 236: 225: 224: 208: 205: 200: 199: 196: 193: 190: 187: 184: 181: 177: 176: 170: 167: 163: 160: 156: 153: 149: 146: 135: 132: 128: 125: 121: 113: 110: 37:with which an 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 5502: 5491: 5488: 5486: 5483: 5481: 5478: 5476: 5473: 5471: 5468: 5466: 5463: 5461: 5458: 5456: 5453: 5452: 5450: 5435: 5434: 5425: 5423: 5422: 5413: 5411: 5410: 5405: 5399: 5397: 5396: 5387: 5386: 5383: 5369: 5366: 5364: 5363:Geostatistics 5361: 5359: 5356: 5354: 5351: 5349: 5346: 5345: 5343: 5341: 5337: 5331: 5330:Psychometrics 5328: 5326: 5323: 5321: 5318: 5316: 5313: 5311: 5308: 5306: 5303: 5301: 5298: 5296: 5293: 5291: 5288: 5286: 5283: 5282: 5280: 5278: 5274: 5268: 5265: 5263: 5260: 5258: 5254: 5251: 5249: 5246: 5244: 5241: 5239: 5236: 5235: 5233: 5231: 5227: 5221: 5218: 5216: 5213: 5211: 5207: 5204: 5202: 5199: 5198: 5196: 5194: 5193:Biostatistics 5190: 5186: 5182: 5177: 5173: 5155: 5154:Log-rank test 5152: 5151: 5149: 5145: 5139: 5136: 5135: 5133: 5131: 5127: 5121: 5118: 5116: 5113: 5111: 5108: 5106: 5103: 5102: 5100: 5098: 5094: 5091: 5089: 5085: 5075: 5072: 5070: 5067: 5065: 5062: 5060: 5057: 5055: 5052: 5051: 5049: 5047: 5043: 5037: 5034: 5032: 5029: 5027: 5025:(Box–Jenkins) 5021: 5019: 5016: 5014: 5011: 5007: 5004: 5003: 5002: 4999: 4998: 4996: 4994: 4990: 4984: 4981: 4979: 4978:Durbin–Watson 4976: 4974: 4968: 4966: 4963: 4961: 4960:Dickey–Fuller 4958: 4957: 4955: 4951: 4945: 4942: 4940: 4937: 4935: 4934:Cointegration 4932: 4930: 4927: 4925: 4922: 4920: 4917: 4915: 4912: 4910: 4909:Decomposition 4907: 4906: 4904: 4900: 4897: 4895: 4891: 4881: 4878: 4877: 4876: 4873: 4872: 4871: 4868: 4864: 4861: 4860: 4859: 4856: 4854: 4851: 4849: 4846: 4844: 4841: 4839: 4836: 4834: 4831: 4829: 4826: 4824: 4821: 4820: 4818: 4816: 4812: 4806: 4803: 4801: 4798: 4796: 4793: 4791: 4788: 4786: 4783: 4781: 4780:Cohen's kappa 4778: 4777: 4775: 4773: 4769: 4765: 4761: 4757: 4753: 4749: 4744: 4740: 4726: 4723: 4721: 4718: 4716: 4713: 4711: 4708: 4707: 4705: 4703: 4699: 4693: 4689: 4685: 4679: 4677: 4674: 4673: 4671: 4669: 4665: 4659: 4656: 4654: 4651: 4649: 4646: 4644: 4641: 4639: 4636: 4634: 4633:Nonparametric 4631: 4629: 4626: 4625: 4623: 4619: 4613: 4610: 4608: 4605: 4603: 4600: 4598: 4595: 4594: 4592: 4590: 4586: 4580: 4577: 4575: 4572: 4570: 4567: 4565: 4562: 4560: 4557: 4556: 4554: 4552: 4548: 4542: 4539: 4537: 4534: 4532: 4529: 4527: 4524: 4523: 4521: 4519: 4515: 4511: 4504: 4501: 4499: 4496: 4495: 4491: 4487: 4471: 4468: 4467: 4466: 4463: 4461: 4458: 4456: 4453: 4449: 4446: 4444: 4441: 4440: 4439: 4436: 4435: 4433: 4431: 4427: 4417: 4414: 4410: 4404: 4402: 4396: 4394: 4388: 4387: 4386: 4383: 4382:Nonparametric 4380: 4378: 4372: 4368: 4365: 4364: 4363: 4357: 4353: 4352:Sample median 4350: 4349: 4348: 4345: 4344: 4342: 4340: 4336: 4328: 4325: 4323: 4320: 4318: 4315: 4314: 4313: 4310: 4308: 4305: 4303: 4297: 4295: 4292: 4290: 4287: 4285: 4282: 4280: 4277: 4275: 4273: 4269: 4267: 4264: 4263: 4261: 4259: 4255: 4249: 4247: 4243: 4241: 4239: 4234: 4232: 4227: 4223: 4222: 4219: 4216: 4214: 4210: 4200: 4197: 4195: 4192: 4190: 4187: 4186: 4184: 4182: 4178: 4172: 4169: 4165: 4162: 4161: 4160: 4157: 4153: 4150: 4149: 4148: 4145: 4143: 4140: 4139: 4137: 4135: 4131: 4123: 4120: 4118: 4115: 4114: 4113: 4110: 4108: 4105: 4103: 4100: 4098: 4095: 4093: 4090: 4088: 4085: 4084: 4082: 4080: 4076: 4070: 4067: 4063: 4060: 4056: 4053: 4051: 4048: 4047: 4046: 4043: 4042: 4041: 4038: 4034: 4031: 4029: 4026: 4024: 4021: 4019: 4016: 4015: 4014: 4011: 4010: 4008: 4006: 4002: 3999: 3997: 3993: 3987: 3984: 3982: 3979: 3975: 3972: 3971: 3970: 3967: 3965: 3962: 3958: 3957:loss function 3955: 3954: 3953: 3950: 3946: 3943: 3941: 3938: 3936: 3933: 3932: 3931: 3928: 3926: 3923: 3921: 3918: 3914: 3911: 3909: 3906: 3904: 3898: 3895: 3894: 3893: 3890: 3886: 3883: 3881: 3878: 3876: 3873: 3872: 3871: 3868: 3864: 3861: 3859: 3856: 3855: 3854: 3851: 3847: 3844: 3843: 3842: 3839: 3835: 3832: 3831: 3830: 3827: 3825: 3822: 3820: 3817: 3815: 3812: 3811: 3809: 3807: 3803: 3799: 3795: 3790: 3786: 3772: 3769: 3767: 3764: 3762: 3759: 3757: 3754: 3753: 3751: 3749: 3745: 3739: 3736: 3734: 3731: 3729: 3726: 3725: 3723: 3719: 3713: 3710: 3708: 3705: 3703: 3700: 3698: 3695: 3693: 3690: 3688: 3685: 3683: 3680: 3679: 3677: 3675: 3671: 3665: 3662: 3660: 3659:Questionnaire 3657: 3655: 3652: 3648: 3645: 3643: 3640: 3639: 3638: 3635: 3634: 3632: 3630: 3626: 3620: 3617: 3615: 3612: 3610: 3607: 3605: 3602: 3600: 3597: 3595: 3592: 3590: 3587: 3585: 3582: 3581: 3579: 3577: 3573: 3569: 3565: 3560: 3556: 3542: 3539: 3537: 3534: 3532: 3529: 3527: 3524: 3522: 3519: 3517: 3514: 3512: 3509: 3507: 3504: 3502: 3499: 3497: 3494: 3492: 3489: 3487: 3486:Control chart 3484: 3482: 3479: 3477: 3474: 3472: 3469: 3468: 3466: 3464: 3460: 3454: 3451: 3447: 3444: 3442: 3439: 3438: 3437: 3434: 3432: 3429: 3427: 3424: 3423: 3421: 3419: 3415: 3409: 3406: 3404: 3401: 3399: 3396: 3395: 3393: 3389: 3383: 3380: 3379: 3377: 3375: 3371: 3359: 3356: 3354: 3351: 3349: 3346: 3345: 3344: 3341: 3339: 3336: 3335: 3333: 3331: 3327: 3321: 3318: 3316: 3313: 3311: 3308: 3306: 3303: 3301: 3298: 3296: 3293: 3291: 3288: 3287: 3285: 3283: 3279: 3273: 3270: 3268: 3265: 3261: 3258: 3256: 3253: 3251: 3248: 3246: 3243: 3241: 3238: 3236: 3233: 3231: 3228: 3226: 3223: 3221: 3218: 3216: 3213: 3212: 3211: 3208: 3207: 3205: 3203: 3199: 3196: 3194: 3190: 3186: 3182: 3177: 3173: 3167: 3164: 3162: 3159: 3158: 3155: 3151: 3144: 3139: 3137: 3132: 3130: 3125: 3124: 3121: 3114: 3110: 3107: 3106: 3102: 3099: 3095: 3092: 3089: 3088: 3084: 3080: 3076: 3072: 3060: 3052: 3048: 3043: 3039: 3033: 3029: 3024: 3020: 3016: 3012: 3008: 3001: 2996: 2992: 2990:9780849392474 2986: 2982: 2981: 2976: 2972: 2968: 2963: 2959: 2955: 2950: 2946: 2940: 2936: 2931: 2929: 2926: 2922: 2916: 2912: 2907: 2903: 2897: 2893: 2888: 2884: 2879: 2878: 2874: 2867: 2862: 2859: 2855: 2851: 2848: 2845:Vita Faraci. 2842: 2839: 2835: 2830: 2827: 2824:. 2010. p. 6. 2823: 2817: 2814: 2809: 2803: 2799: 2792: 2789: 2784: 2780: 2776: 2772: 2765: 2761: 2757: 2751: 2748: 2743: 2741:9781119994077 2737: 2733: 2729: 2726:. p. 1. 2725: 2718: 2715: 2710: 2706: 2702: 2698: 2694: 2690: 2683: 2680: 2675: 2671: 2667: 2663: 2659: 2655: 2654:Technometrics 2648: 2646: 2642: 2637: 2633: 2629: 2625: 2620: 2615: 2611: 2607: 2600: 2597: 2592: 2588: 2583: 2578: 2574: 2570: 2566: 2559: 2556: 2551: 2547: 2542: 2537: 2533: 2529: 2525: 2518: 2516: 2512: 2507: 2503: 2498: 2493: 2489: 2485: 2481: 2474: 2472: 2468: 2463: 2457: 2453: 2449: 2445: 2438: 2435: 2432: 2427: 2424: 2419: 2412: 2409: 2404: 2403: 2396: 2393: 2387: 2382: 2379: 2377: 2374: 2372: 2369: 2367: 2364: 2362: 2359: 2357: 2354: 2352: 2349: 2347: 2344: 2342: 2339: 2337: 2334: 2332: 2329: 2327: 2324: 2323: 2318: 2312: 2307: 2302: 2300: 2283: 2267: 2264: 2260: 2256: 2253: 2250: 2236: 2233: 2222: 2212: 2202: 2201: 2200: 2197: 2195: 2186: 2184: 2181: 2176: 2174: 2166: 2164: 2161: 2159: 2158:semiconductor 2155: 2151: 2146: 2144: 2139: 2137: 2129: 2127: 2124: 2116: 2114: 2112: 2103: 2101: 2098: 2090: 2088: 2086: 2082: 2077: 2075: 2071: 2062: 2046: 2041: 2037: 2034: 2028: 2022: 2017: 2012: 2008: 2004: 2000: 1995: 1992: 1989: 1986: 1983: 1977: 1971: 1964: 1963: 1962: 1945: 1939: 1910: 1904: 1901: 1898: 1890: 1883: 1880: 1873: 1864: 1858: 1855: 1852: 1844: 1838: 1832: 1826: 1820: 1813: 1812: 1811: 1808: 1806: 1802: 1798: 1797:"wearing out" 1794: 1790: 1786: 1782: 1778: 1774: 1755: 1752: 1749: 1742: 1739: 1736: 1732: 1725: 1722: 1719: 1715: 1711: 1705: 1696: 1690: 1682: 1676: 1670: 1664: 1658: 1651: 1650: 1649: 1647: 1627: 1622: 1619: 1616: 1612: 1608: 1605: 1602: 1599: 1596: 1590: 1587: 1584: 1580: 1576: 1571: 1566: 1562: 1558: 1552: 1546: 1539: 1538: 1537: 1535: 1531: 1530: 1524: 1515: 1497: 1488: 1482: 1474: 1468: 1462: 1453: 1447: 1444: 1441: 1433: 1427: 1421: 1415: 1409: 1402: 1401: 1400: 1382: 1379: 1376: 1369: 1363: 1358: 1353: 1349: 1345: 1339: 1333: 1326: 1325: 1324: 1322: 1318: 1314: 1312: 1294: 1269: 1266: 1263: 1259: 1253: 1247: 1244: 1241: 1238: 1232: 1226: 1223: 1217: 1214: 1211: 1205: 1195: 1194: 1193: 1191: 1187: 1184:, which is a 1168: 1162: 1154: 1135: 1129: 1123: 1120: 1117: 1111: 1095: 1092: 1083: 1077: 1074: 1071: 1060: 1054: 1051: 1045: 1042: 1036: 1030: 1022: 1016: 1005: 999: 993: 986: 985: 984: 970: 959: 958:instantaneous 940: 934: 926: 923:(also called 922: 910: 891: 885: 876: 869: 867: 863: 846: 840: 820: 812: 794: 790: 769: 747: 743: 717: 713: 709: 704: 700: 676: 641: 635: 632: 629: 618: 612: 609: 603: 600: 594: 588: 582: 571: 567: 560: 557: 549: 545: 541: 536: 532: 518: 514: 507: 504: 496: 492: 485: 479: 473: 467: 460: 459: 458: 457: 436: 430: 404: 398: 390: 384: 378: 372: 366: 359: 358: 357: 356: 355: 341: 318: 312: 309: 306: 303: 297: 291: 283: 267: 259: 240: 234: 222: 218: 214: 213: 212: 206: 204: 197: 194: 191: 188: 185: 182: 179: 178: 174: 171: 168: 164: 162:Cycle Testing 161: 157: 154: 150: 147: 144: 140: 136: 133: 129: 126: 122: 119: 118: 117: 111: 109: 106: 104: 100: 96: 91: 89: 85: 80: 76: 74: 73:bathtub curve 70: 66: 61: 59: 53: 51: 47: 44: 40: 36: 32: 19: 5431: 5419: 5400: 5393: 5305:Econometrics 5255: / 5238:Chemometrics 5215:Epidemiology 5208: / 5181:Applications 5129: 5023:ARIMA model 4970:Q-statistic 4919:Stationarity 4815:Multivariate 4758: / 4754: / 4752:Multivariate 4750: / 4690: / 4686: / 4460:Bayes factor 4359:Signed rank 4271: 4245: 4237: 4225: 3920:Completeness 3756:Cohort study 3654:Opinion poll 3589:Missing data 3576:Study design 3531:Scatter plot 3453:Scatter plot 3446:Spearman's ρ 3408:Grouped data 3104: 3078: 3046: 3027: 3010: 3006: 2978: 2975:Modarres, M. 2966: 2957: 2953: 2934: 2910: 2891: 2882: 2861: 2841: 2829: 2816: 2797: 2791: 2774: 2770: 2750: 2723: 2717: 2692: 2688: 2682: 2657: 2653: 2609: 2605: 2599: 2572: 2568: 2558: 2531: 2527: 2487: 2483: 2443: 2437: 2426: 2417: 2411: 2401: 2395: 2341:Failure mode 2298: 2198: 2190: 2177: 2173:redundancies 2170: 2162: 2153: 2149: 2147: 2140: 2135: 2133: 2120: 2107: 2104:Applications 2094: 2078: 2069: 2066: 1931: 1809: 1805:"burning in" 1770: 1643: 1533: 1526: 1520: 1398: 1320: 1316: 1310: 1285: 1189: 1152: 1150: 957: 924: 916: 914: 864: 833:. Hence the 665: 226: 220: 210: 201: 155:Life Testing 138: 115: 107: 92: 81: 77: 68: 62: 58:transmission 54: 43:Greek letter 31:Failure rate 30: 29: 5475:Maintenance 5433:WikiProject 5348:Cartography 5310:Jurimetrics 5262:Reliability 4993:Time domain 4972:(Ljung–Box) 4894:Time-series 4772:Categorical 4756:Time-series 4748:Categorical 4683:(Bernoulli) 4518:Correlation 4498:Correlation 4294:Jarque–Bera 4266:Chi-squared 4028:M-estimator 3981:Asymptotics 3925:Sufficiency 3692:Interaction 3604:Replication 3584:Effect size 3541:Violin plot 3521:Radar chart 3501:Forest plot 3491:Correlogram 3441:Kendall's τ 3067:|work= 2756:Wierman, A. 2227: hours 1773:memory-less 925:hazard rate 258:probability 84:engineering 5449:Categories 5300:Demography 5018:ARMA model 4823:Regression 4400:(Friedman) 4361:(Wilcoxon) 4299:Normality 4289:Lilliefors 4236:Student's 4112:Resampling 3986:Robustness 3974:divergence 3964:Efficiency 3902:(monotone) 3897:Likelihood 3814:Population 3647:Stratified 3599:Population 3418:Dependence 3374:Count data 3305:Percentile 3282:Dispersion 3215:Arithmetic 3150:Statistics 3037:047147133X 2944:0471511919 2920:0070188521 2901:0135241170 2695:(5): 479. 2388:References 2194:confidence 2167:Additivity 2160:industry. 217:population 148:Prediction 120:Estimation 4681:Logistic 4448:posterior 4374:Rank sum 4122:Jackknife 4117:Bootstrap 3935:Bootstrap 3870:Parameter 3819:Statistic 3614:Statistic 3526:Run chart 3511:Pie chart 3506:Histogram 3496:Fan chart 3471:Bar chart 3353:L-moments 3240:Geometric 3069:ignored ( 3059:cite book 2777:: 73–76. 2619:1009.2463 2265:− 2257:× 2237:0.0007998 2009:∫ 2005:− 1996:⁡ 1990:− 1902:− 1856:− 1793:monotonic 1753:λ 1740:λ 1737:− 1723:λ 1720:− 1712:λ 1620:λ 1617:− 1609:− 1600:τ 1591:τ 1588:λ 1585:− 1577:λ 1563:∫ 1445:− 1380:τ 1370:τ 1350:∫ 1267:≥ 1245:− 1215:≤ 1206:⁡ 1121:⁡ 1096:− 1075:⋅ 1069:Δ 1058:Δ 1043:− 1020:→ 1014:Δ 968:Δ 710:− 674:Δ 633:⋅ 627:Δ 616:Δ 601:− 558:⋅ 542:− 505:− 468:λ 367:λ 310:− 235:λ 131:estimate. 103:correlate 35:frequency 5395:Category 5088:Survival 4965:Johansen 4688:Binomial 4643:Isotonic 4230:(normal) 3875:location 3682:Blocking 3637:Sampling 3516:Q–Q plot 3481:Box plot 3463:Graphics 3358:Skewness 3348:Kurtosis 3320:Variance 3250:Heronian 3245:Harmonic 3109:Archived 3094:Archived 2850:Archived 2762:(2004). 2636:26570923 2303:See also 2276:failures 2243:failures 1884:′ 1313:function 423:, where 159:instead. 99:railways 5421:Commons 5368:Kriging 5253:Process 5210:studies 5069:Wavelet 4902:General 4069:Plug-in 3863:L space 3642:Cluster 3343:Moments 3161:Outline 2856:. 2006. 2836:. 2010. 2697:Bibcode 2674:1266340 2591:2243747 2550:2243910 2506:2243267 2336:Failure 2331:Burn-in 2187:Example 2072:) is a 1783:, or a 1311:density 141:, is a 33:is the 5290:Census 4880:Normal 4828:Manova 4648:Robust 4398:2-way 4390:1-way 4228:-test 3899:  3476:Biplot 3267:Median 3260:Lehmer 3202:Center 3100:, ASQC 3034:  2987:  2941:  2917:  2898:  2804:  2738:  2672:  2634:  2589:  2548:  2504:  2458:  2095:For a 1791:it is 1286:where 221:et al. 5490:Rates 4914:Trend 4443:prior 4385:anova 4274:-test 4248:-test 4240:-test 4147:Power 4092:Pivot 3885:shape 3880:scale 3330:Shape 3310:Range 3255:Heinz 3230:Cubic 3166:Index 3003:(PDF) 2767:(PDF) 2670:JSTOR 2632:S2CID 2614:arXiv 2587:JSTOR 2546:JSTOR 2502:JSTOR 2254:799.8 2136:hours 2130:Units 1521:Many 782:) to 735:from 169:FMEDA 5147:Test 4347:Sign 4199:Wald 3272:Mode 3210:Mean 3071:help 3032:ISBN 2985:ISBN 2939:ISBN 2915:ISBN 2896:ISBN 2802:ISBN 2736:ISBN 2456:ISBN 2279:hour 2246:hour 2223:7502 2148:The 1932:for 1527:see 762:(or 69:only 4327:BIC 4322:AIC 3015:doi 2779:doi 2728:doi 2705:doi 2662:doi 2624:doi 2577:doi 2536:doi 2492:doi 2448:doi 2154:FIT 1993:exp 1323:), 1010:lim 927:), 5451:: 3063:: 3061:}} 3057:{{ 3011:51 3009:. 3005:. 2956:. 2775:32 2773:. 2769:. 2734:. 2703:. 2693:17 2691:. 2668:. 2656:. 2644:^ 2630:. 2622:. 2610:48 2608:. 2585:. 2571:. 2567:. 2544:. 2532:16 2530:. 2526:. 2514:^ 2500:. 2486:. 2482:. 2470:^ 2454:. 2261:10 2087:. 2076:. 1779:, 1536:, 1315:, 1270:0. 1192:, 1155:, 1118:ln 689:= 354:. 52:. 4272:G 4246:F 4238:t 4226:Z 3945:V 3940:U 3142:e 3135:t 3128:v 3073:) 3053:. 3040:. 3021:. 3017:: 2993:. 2958:2 2947:. 2923:. 2904:. 2868:. 2810:. 2785:. 2781:: 2744:. 2730:: 2711:. 2707:: 2699:: 2676:. 2664:: 2658:5 2638:. 2626:: 2616:: 2593:. 2579:: 2573:9 2552:. 2538:: 2508:. 2494:: 2488:8 2464:. 2450:: 2284:, 2268:6 2251:= 2234:= 2213:6 2152:( 2070:t 2047:. 2042:) 2038:t 2035:d 2032:) 2029:t 2026:( 2023:h 2018:t 2013:0 2001:( 1987:1 1984:= 1981:) 1978:t 1975:( 1972:F 1949:) 1946:t 1943:( 1940:F 1914:) 1911:t 1908:( 1905:F 1899:1 1894:) 1891:t 1888:( 1881:F 1874:= 1868:) 1865:t 1862:( 1859:F 1853:1 1848:) 1845:t 1842:( 1839:f 1833:= 1830:) 1827:t 1824:( 1821:h 1756:. 1750:= 1743:t 1733:e 1726:t 1716:e 1706:= 1700:) 1697:t 1694:( 1691:R 1686:) 1683:t 1680:( 1677:f 1671:= 1668:) 1665:t 1662:( 1659:h 1628:, 1623:t 1613:e 1606:1 1603:= 1597:d 1581:e 1572:t 1567:0 1559:= 1556:) 1553:t 1550:( 1547:F 1498:. 1492:) 1489:t 1486:( 1483:R 1478:) 1475:t 1472:( 1469:f 1463:= 1457:) 1454:t 1451:( 1448:F 1442:1 1437:) 1434:t 1431:( 1428:f 1422:= 1419:) 1416:t 1413:( 1410:h 1383:. 1377:d 1373:) 1367:( 1364:f 1359:t 1354:0 1346:= 1343:) 1340:t 1337:( 1334:F 1321:t 1319:( 1317:f 1295:T 1264:t 1260:, 1257:) 1254:t 1251:( 1248:R 1242:1 1239:= 1236:) 1233:t 1230:( 1227:F 1224:= 1221:) 1218:t 1212:T 1209:( 1203:P 1190:t 1172:) 1169:t 1166:( 1163:F 1136:. 1133:) 1130:t 1127:( 1124:R 1112:t 1108:d 1102:d 1093:= 1087:) 1084:t 1081:( 1078:R 1072:t 1064:) 1061:t 1055:+ 1052:t 1049:( 1046:R 1040:) 1037:t 1034:( 1031:R 1023:0 1017:t 1006:= 1003:) 1000:t 997:( 994:h 971:t 944:) 941:t 938:( 935:h 911:. 895:) 892:t 889:( 886:h 850:) 847:t 844:( 841:R 821:t 795:2 791:t 770:t 748:1 744:t 723:) 718:1 714:t 705:2 701:t 697:( 677:t 645:) 642:t 639:( 636:R 630:t 622:) 619:t 613:+ 610:t 607:( 604:R 598:) 595:t 592:( 589:R 583:= 577:) 572:1 568:t 564:( 561:R 555:) 550:1 546:t 537:2 533:t 529:( 524:) 519:2 515:t 511:( 508:R 502:) 497:1 493:t 489:( 486:R 480:= 477:) 474:t 471:( 440:) 437:t 434:( 431:f 408:) 405:t 402:( 399:R 394:) 391:t 388:( 385:f 379:= 376:) 373:t 370:( 342:t 322:) 319:t 316:( 313:F 307:1 304:= 301:) 298:t 295:( 292:R 268:t 244:) 241:t 238:( 223:) 46:λ 20:)

Index

Hazard function
frequency
engineered system
Greek letter
λ
reliability engineering
transmission
mean time between failures
bathtub curve
engineering
renewal processes
transport industries
railways
correlate
military standard
Failure modes, effects, and diagnostic analysis
population
probability
reliability function
conditional probability

log-logistic distributions
cumulative distribution function
density function

probability distributions
List of important probability distributions
exponential density function
memory-less
Weibull distribution

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