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Sometimes the trend and cyclical components are grouped into one, called the trend-cycle component. The trend-cycle component can just be referred to as the "trend" component, even though it may contain cyclical behavior. For example, a seasonal decomposition of time series by Loess (STL) plot
538:
In policy analysis, forecasting future production of biofuels is key data for making better decisions, and statistical time series models have recently been developed to forecast renewable energy sources, and a multiplicative decomposition method was designed to forecast future production of
160:. It seeks to construct, from an observed time series, a number of component series (that could be used to reconstruct the original by additions or multiplications) where each of these has a certain characteristic or type of behavior. For example, time series are usually decomposed into:
559:. The R statistical software also includes many packages for time series decomposition, such as seasonal, stl, stlplus, and bfast. Bayesian methods are also available; one example is the BEAST method in a package Rbeast in R, Matlab, and Python.
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An additive model would be used when the variations around the trend do not vary with the level of the time series whereas a multiplicative model would be appropriate if the trend is proportional to the level of the time series.
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decomposes a time series into seasonal, trend and irregular components using loess and plots the components separately, whereby the cyclical component (if present in the data) is included in the "trend" component plot.
272:(seasonal variation). A seasonal pattern exists when a time series is influenced by seasonal factors. Seasonality occurs over a fixed and known period (e.g., the quarter of the year, the month, or day of the week).
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543:. The optimum length of the moving average (seasonal length) and start point, where the averages are placed, were indicated based on the best coincidence between the present forecast and actual values.
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Kendall shows an example of a decomposition into smooth, seasonal and irregular factors for a set of data containing values of the monthly aircraft miles flown by
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into several components, each representing one of the underlying categories of patterns. There are two principal types of decomposition, which are outlined below.
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730:"Development of a mathematical methodology to investigate biohydrogen production from regional and national agricultural crop residues: A case study of Iran"
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makes use of the idea of decomposing a times series into deterministic and non-deterministic components (or predictable and unpredictable components). See
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An example of using multiplicative decomposition in biohydrogen production forecast.
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An example of statistical software for this type of decomposition is the program
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Statistical task that deconstructs a time series into several components
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2010:
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800:"stlplus: Enhanced Seasonal Decomposition of Time Series by Loess"
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480:{\displaystyle y_{t}=T_{t}\times C_{t}\times S_{t}\times I_{t}.\,}
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Asadi, Nooshin; Karimi
Alavijeh, Masih; Zilouei, Hamid (2016).
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Li, Yang; Zhao, Kaiguang; Hu, Tongxi; Zhang, Xuesong.
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Autoregressive conditional heteroskedasticity (ARCH)
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60:. Unsourced material may be challenged and removed.
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762:(Second ed.). Charles Griffin. (Fig. 5.1).
152:This is an important technique for all types of
2319:Multivariate adaptive regression splines (MARS)
301:, the irregular component (or "noise") at time
391:{\displaystyle y_{t}=T_{t}+C_{t}+S_{t}+I_{t},}
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840:(Second ed.). New York: Wiley. pp.
8:
832:Enders, Walter (2004). "Models with Trend".
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785:"seasonal: R Interface to X-13-ARIMA-SEATS"
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649:The Oxford Dictionary of Statistical Terms
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120:Learn how and when to remove this message
734:International Journal of Hydrogen Energy
401:whereas a multiplicative model would be
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605:
2845:KaplanâMeier estimator (product limit)
148:Decomposition based on rates of change
678:"6.1 Time series components | OTexts"
653:. New York: Oxford University Press.
619:"6.1 Time series components | OTexts"
499:Decomposition based on predictability
7:
3155:
2855:Accelerated failure time (AFT) model
723:
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58:adding citations to reliable sources
3167:
2450:Analysis of variance (ANOVA, anova)
2545:CochranâMantelâHaenszel statistics
1171:Pearson product-moment correlation
25:
264:, the seasonal component at time
231:, the cyclical component at time
3166:
3154:
3142:
3129:
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702:"6.5 STL decomposition | OTexts"
34:
3260:Associative (causal) forecasts
2804:Least-squares spectral analysis
836:Applied Econometric Time Series
584:Least-squares spectral analysis
45:needs additional citations for
1785:Mean-unbiased minimum-variance
742:10.1016/j.ijhydene.2016.10.021
69:"Decomposition of time series"
1:
3098:Geographic information system
2314:Simultaneous equations models
309:Hence a time series using an
3245:Decomposition of time series
2281:Coefficient of determination
1892:Uniformly most powerful test
134:decomposition of time series
2850:Proportional hazards models
2794:Spectral density estimation
2776:Vector autoregression (VAR)
2210:Maximum posterior estimator
1442:Randomized controlled trial
3314:
3226:Historical data forecasts
2610:Multivariate distributions
1030:Average absolute deviation
18:Decomposing of time series
3258:
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2914:
2598:Structural equation model
2506:
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1960:
1934:Score/Lagrange multiplier
1540:
1527:
1349:Sample size determination
1310:
1297:
927:
914:
896:
140:task that deconstructs a
3268:Simple linear regression
3093:Environmental statistics
2615:Elliptical distributions
2408:Generalized linear model
2337:Simple linear regression
2107:HodgesâLehmann estimator
1564:Probability distribution
1473:Stochastic approximation
1035:Coefficient of variation
2753:Cross-correlation (XCF)
2361:Non-standard predictors
1795:LehmannâScheffĂ© theorem
1468:Adaptive clinical trial
574:HilbertâHuang transform
3149:Mathematics portal
2970:Engineering statistics
2878:NelsonâAalen estimator
2455:Analysis of covariance
2342:Ordinary least squares
2266:Pearson product-moment
1670:Statistical functional
1581:Empirical distribution
1414:Controlled experiments
1143:Frequency distribution
921:Descriptive statistics
528:
481:
392:
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258:
225:
184:
3235:Exponential smoothing
3065:Population statistics
3007:System identification
2741:Autocorrelation (ACF)
2669:Exponential smoothing
2583:Discriminant analysis
2578:Canonical correlation
2442:Partition of variance
2304:Regression validation
2148:(JonckheereâTerpstra)
2047:Likelihood-ratio test
1736:Frequentist inference
1648:Locationâscale family
1569:Sampling distribution
1534:Statistical inference
1501:Cross-sectional study
1488:Observational studies
1447:Randomized experiment
1276:Stem-and-leaf display
1078:Central limit theorem
555:that is based on the
526:
482:
393:
313:can be thought of as
296:
294:{\displaystyle I_{t}}
259:
257:{\displaystyle S_{t}}
226:
224:{\displaystyle C_{t}}
185:
183:{\displaystyle T_{t}}
2988:Probabilistic design
2573:Principal components
2416:Exponential families
2368:Nonlinear regression
2347:General linear model
2309:Mixed effects models
2299:Errors and residuals
2276:Confounding variable
2178:Bayesian probability
2156:Van der Waerden test
2146:Ordered alternative
1911:Multiple comparisons
1790:RaoâBlackwellization
1753:Estimating equations
1709:Statistical distance
1427:Factorial experiment
960:Arithmetic-Geometric
505:time series analysis
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154:time series analysis
54:improve this article
3273:Regression analysis
3060:Official statistics
2983:Methods engineering
2664:Seasonal adjustment
2432:Poisson regressions
2352:Bayesian regression
2291:Regression analysis
2271:Partial correlation
2243:Regression analysis
1842:Prediction interval
1837:Likelihood interval
1827:Confidence interval
1819:Interval estimation
1780:Unbiased estimators
1598:Model specification
1478:Up-and-down designs
1166:Partial correlation
1122:Index of dispersion
1040:Interquartile range
158:seasonal adjustment
3080:Spatial statistics
2960:Medical statistics
2860:First hitting time
2814:Whittle likelihood
2465:Degrees of freedom
2460:Multivariate ANOVA
2393:Heteroscedasticity
2205:Bayesian estimator
2170:Bayesian inference
2019:KolmogorovâSmirnov
1904:Randomization test
1874:Testing hypotheses
1847:Tolerance interval
1758:Maximum likelihood
1653:Exponential family
1586:Density estimation
1546:Statistical theory
1506:Natural experiment
1452:Scientific control
1369:Survey methodology
1055:Standard deviation
645:Dodge, Y. (2003).
569:Frequency spectrum
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513:Wold decomposition
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3278:Econometric model
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3055:National accounts
3025:Actuarial science
3017:Social statistics
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2837:Survival function
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2684:Granger causality
2525:Contingency table
2500:Survival analysis
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2329:Linear regression
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2195:Credible interval
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1632:Parametric family
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1437:Random assignment
1359:Statistical power
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1138:Contingency table
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975:Generalized/power
200:secular variation
156:, especially for
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16:(Redirected from
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2679:Structural break
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2588:Cluster analysis
2535:Log-linear model
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2398:Homoscedasticity
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2132:(KruskalâWallis)
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2057:Cross validation
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2024:AndersonâDarling
1971:
1958:
1929:Likelihood-ratio
1921:Parametric tests
1899:Permutation test
1882:1- & 2-tails
1773:Minimum distance
1745:Point estimation
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1692:Optimal decision
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1461:Adaptive designs
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1176:Rank correlation
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2707:
2702:
2696:
2694:
2693:Specific tests
2690:
2689:
2687:
2686:
2681:
2676:
2671:
2666:
2661:
2656:
2651:
2645:
2643:
2636:
2630:
2629:
2627:
2626:
2625:
2624:
2623:
2622:
2607:
2606:
2605:
2595:
2593:Classification
2590:
2585:
2580:
2575:
2570:
2565:
2559:
2557:
2551:
2550:
2548:
2547:
2542:
2540:McNemar's test
2537:
2532:
2527:
2522:
2516:
2514:
2504:
2503:
2486:
2479:
2478:
2475:
2474:
2471:
2470:
2468:
2467:
2462:
2457:
2452:
2446:
2444:
2438:
2437:
2435:
2434:
2418:
2412:
2410:
2404:
2403:
2401:
2400:
2395:
2390:
2385:
2380:
2378:Semiparametric
2375:
2370:
2364:
2362:
2358:
2357:
2355:
2354:
2349:
2344:
2339:
2333:
2331:
2325:
2324:
2322:
2321:
2316:
2311:
2306:
2301:
2295:
2293:
2287:
2286:
2284:
2283:
2278:
2273:
2268:
2262:
2260:
2250:
2249:
2246:
2245:
2240:
2234:
2233:
2226:
2225:
2222:
2221:
2218:
2217:
2215:
2214:
2213:
2212:
2202:
2197:
2192:
2191:
2190:
2185:
2174:
2172:
2166:
2165:
2162:
2161:
2159:
2158:
2153:
2152:
2151:
2143:
2135:
2119:
2116:(MannâWhitney)
2111:
2110:
2109:
2096:
2095:
2094:
2083:
2081:
2075:
2074:
2072:
2071:
2070:
2069:
2064:
2059:
2049:
2044:
2041:(ShapiroâWilk)
2036:
2031:
2026:
2021:
2016:
2008:
2002:
2000:
1994:
1993:
1991:
1990:
1982:
1973:
1961:
1955:
1953:Specific tests
1949:
1948:
1945:
1944:
1942:
1941:
1936:
1931:
1925:
1923:
1917:
1916:
1914:
1913:
1908:
1907:
1906:
1896:
1895:
1894:
1884:
1878:
1876:
1870:
1869:
1867:
1866:
1865:
1864:
1859:
1849:
1844:
1839:
1834:
1829:
1823:
1821:
1815:
1814:
1812:
1811:
1806:
1805:
1804:
1799:
1798:
1797:
1792:
1777:
1776:
1775:
1770:
1765:
1760:
1749:
1747:
1738:
1732:
1731:
1729:
1728:
1723:
1718:
1717:
1716:
1706:
1701:
1700:
1699:
1689:
1688:
1687:
1682:
1677:
1667:
1662:
1657:
1656:
1655:
1650:
1645:
1629:
1628:
1627:
1622:
1617:
1607:
1606:
1605:
1600:
1590:
1589:
1588:
1578:
1577:
1576:
1566:
1561:
1556:
1550:
1548:
1538:
1537:
1532:
1525:
1524:
1521:
1520:
1517:
1516:
1514:
1513:
1508:
1503:
1498:
1492:
1490:
1484:
1483:
1481:
1480:
1475:
1470:
1464:
1462:
1458:
1457:
1455:
1454:
1449:
1444:
1439:
1434:
1429:
1424:
1418:
1416:
1410:
1409:
1407:
1406:
1404:Standard error
1401:
1396:
1391:
1390:
1389:
1384:
1373:
1371:
1365:
1364:
1362:
1361:
1356:
1351:
1346:
1341:
1336:
1334:Optimal design
1331:
1326:
1320:
1318:
1308:
1307:
1302:
1295:
1294:
1291:
1290:
1287:
1286:
1284:
1283:
1278:
1273:
1268:
1263:
1258:
1253:
1248:
1243:
1238:
1233:
1228:
1223:
1218:
1213:
1207:
1205:
1199:
1198:
1196:
1195:
1190:
1189:
1188:
1183:
1173:
1168:
1162:
1160:
1154:
1153:
1151:
1150:
1145:
1140:
1134:
1132:
1131:Summary tables
1128:
1127:
1125:
1124:
1118:
1116:
1110:
1109:
1106:
1105:
1103:
1102:
1101:
1100:
1095:
1090:
1080:
1074:
1072:
1066:
1065:
1063:
1062:
1057:
1052:
1047:
1042:
1037:
1032:
1026:
1024:
1018:
1017:
1015:
1014:
1009:
1004:
1003:
1002:
997:
992:
987:
982:
977:
972:
967:
965:Contraharmonic
962:
957:
946:
944:
935:
925:
924:
919:
912:
911:
909:
908:
903:
897:
894:
893:
888:
886:
885:
878:
871:
863:
857:
856:
850:
827:
824:
821:
820:
805:
790:
775:
768:
756:Kendall, M. G.
747:
717:
706:www.otexts.org
693:
682:www.otexts.org
666:
659:
634:
623:www.otexts.org
604:
603:
601:
598:
597:
596:
591:
586:
581:
576:
571:
564:
561:
548:
545:
520:
517:
509:Wold's theorem
503:The theory of
500:
497:
488:
487:
475:
470:
466:
462:
457:
453:
449:
444:
440:
436:
431:
427:
423:
418:
414:
399:
398:
387:
382:
378:
374:
369:
365:
361:
356:
352:
348:
343:
339:
335:
330:
326:
311:additive model
307:
306:
288:
284:
273:
251:
247:
236:
218:
214:
203:
177:
173:
149:
146:
128:
127:
42:
40:
33:
26:
24:
14:
13:
10:
9:
6:
4:
3:
2:
3310:
3299:
3296:
3295:
3293:
3279:
3276:
3274:
3271:
3269:
3266:
3264:
3261:
3257:
3251:
3248:
3246:
3243:
3241:
3238:
3236:
3233:
3231:
3228:
3227:
3223:
3218:
3215:Quantitative
3210:
3205:
3203:
3198:
3196:
3191:
3190:
3187:
3175:
3174:
3165:
3163:
3162:
3153:
3151:
3150:
3145:
3139:
3137:
3136:
3127:
3126:
3123:
3109:
3106:
3104:
3103:Geostatistics
3101:
3099:
3096:
3094:
3091:
3089:
3086:
3085:
3083:
3081:
3077:
3071:
3070:Psychometrics
3068:
3066:
3063:
3061:
3058:
3056:
3053:
3051:
3048:
3046:
3043:
3041:
3038:
3036:
3033:
3031:
3028:
3026:
3023:
3022:
3020:
3018:
3014:
3008:
3005:
3003:
3000:
2998:
2994:
2991:
2989:
2986:
2984:
2981:
2979:
2976:
2975:
2973:
2971:
2967:
2961:
2958:
2956:
2953:
2951:
2947:
2944:
2942:
2939:
2938:
2936:
2934:
2933:Biostatistics
2930:
2926:
2922:
2917:
2913:
2895:
2894:Log-rank test
2892:
2891:
2889:
2885:
2879:
2876:
2875:
2873:
2871:
2867:
2861:
2858:
2856:
2853:
2851:
2848:
2846:
2843:
2842:
2840:
2838:
2834:
2831:
2829:
2825:
2815:
2812:
2810:
2807:
2805:
2802:
2800:
2797:
2795:
2792:
2791:
2789:
2787:
2783:
2777:
2774:
2772:
2769:
2767:
2765:(BoxâJenkins)
2761:
2759:
2756:
2754:
2751:
2747:
2744:
2743:
2742:
2739:
2738:
2736:
2734:
2730:
2724:
2721:
2719:
2718:DurbinâWatson
2716:
2714:
2708:
2706:
2703:
2701:
2700:DickeyâFuller
2698:
2697:
2695:
2691:
2685:
2682:
2680:
2677:
2675:
2674:Cointegration
2672:
2670:
2667:
2665:
2662:
2660:
2657:
2655:
2652:
2650:
2649:Decomposition
2647:
2646:
2644:
2640:
2637:
2635:
2631:
2621:
2618:
2617:
2616:
2613:
2612:
2611:
2608:
2604:
2601:
2600:
2599:
2596:
2594:
2591:
2589:
2586:
2584:
2581:
2579:
2576:
2574:
2571:
2569:
2566:
2564:
2561:
2560:
2558:
2556:
2552:
2546:
2543:
2541:
2538:
2536:
2533:
2531:
2528:
2526:
2523:
2521:
2520:Cohen's kappa
2518:
2517:
2515:
2513:
2509:
2505:
2501:
2497:
2493:
2489:
2484:
2480:
2466:
2463:
2461:
2458:
2456:
2453:
2451:
2448:
2447:
2445:
2443:
2439:
2433:
2429:
2425:
2419:
2417:
2414:
2413:
2411:
2409:
2405:
2399:
2396:
2394:
2391:
2389:
2386:
2384:
2381:
2379:
2376:
2374:
2373:Nonparametric
2371:
2369:
2366:
2365:
2363:
2359:
2353:
2350:
2348:
2345:
2343:
2340:
2338:
2335:
2334:
2332:
2330:
2326:
2320:
2317:
2315:
2312:
2310:
2307:
2305:
2302:
2300:
2297:
2296:
2294:
2292:
2288:
2282:
2279:
2277:
2274:
2272:
2269:
2267:
2264:
2263:
2261:
2259:
2255:
2251:
2244:
2241:
2239:
2236:
2235:
2231:
2227:
2211:
2208:
2207:
2206:
2203:
2201:
2198:
2196:
2193:
2189:
2186:
2184:
2181:
2180:
2179:
2176:
2175:
2173:
2171:
2167:
2157:
2154:
2150:
2144:
2142:
2136:
2134:
2128:
2127:
2126:
2123:
2122:Nonparametric
2120:
2118:
2112:
2108:
2105:
2104:
2103:
2097:
2093:
2092:Sample median
2090:
2089:
2088:
2085:
2084:
2082:
2080:
2076:
2068:
2065:
2063:
2060:
2058:
2055:
2054:
2053:
2050:
2048:
2045:
2043:
2037:
2035:
2032:
2030:
2027:
2025:
2022:
2020:
2017:
2015:
2013:
2009:
2007:
2004:
2003:
2001:
1999:
1995:
1989:
1987:
1983:
1981:
1979:
1974:
1972:
1967:
1963:
1962:
1959:
1956:
1954:
1950:
1940:
1937:
1935:
1932:
1930:
1927:
1926:
1924:
1922:
1918:
1912:
1909:
1905:
1902:
1901:
1900:
1897:
1893:
1890:
1889:
1888:
1885:
1883:
1880:
1879:
1877:
1875:
1871:
1863:
1860:
1858:
1855:
1854:
1853:
1850:
1848:
1845:
1843:
1840:
1838:
1835:
1833:
1830:
1828:
1825:
1824:
1822:
1820:
1816:
1810:
1807:
1803:
1800:
1796:
1793:
1791:
1788:
1787:
1786:
1783:
1782:
1781:
1778:
1774:
1771:
1769:
1766:
1764:
1761:
1759:
1756:
1755:
1754:
1751:
1750:
1748:
1746:
1742:
1739:
1737:
1733:
1727:
1724:
1722:
1719:
1715:
1712:
1711:
1710:
1707:
1705:
1702:
1698:
1697:loss function
1695:
1694:
1693:
1690:
1686:
1683:
1681:
1678:
1676:
1673:
1672:
1671:
1668:
1666:
1663:
1661:
1658:
1654:
1651:
1649:
1646:
1644:
1638:
1635:
1634:
1633:
1630:
1626:
1623:
1621:
1618:
1616:
1613:
1612:
1611:
1608:
1604:
1601:
1599:
1596:
1595:
1594:
1591:
1587:
1584:
1583:
1582:
1579:
1575:
1572:
1571:
1570:
1567:
1565:
1562:
1560:
1557:
1555:
1552:
1551:
1549:
1547:
1543:
1539:
1535:
1530:
1526:
1512:
1509:
1507:
1504:
1502:
1499:
1497:
1494:
1493:
1491:
1489:
1485:
1479:
1476:
1474:
1471:
1469:
1466:
1465:
1463:
1459:
1453:
1450:
1448:
1445:
1443:
1440:
1438:
1435:
1433:
1430:
1428:
1425:
1423:
1420:
1419:
1417:
1415:
1411:
1405:
1402:
1400:
1399:Questionnaire
1397:
1395:
1392:
1388:
1385:
1383:
1380:
1379:
1378:
1375:
1374:
1372:
1370:
1366:
1360:
1357:
1355:
1352:
1350:
1347:
1345:
1342:
1340:
1337:
1335:
1332:
1330:
1327:
1325:
1322:
1321:
1319:
1317:
1313:
1309:
1305:
1300:
1296:
1282:
1279:
1277:
1274:
1272:
1269:
1267:
1264:
1262:
1259:
1257:
1254:
1252:
1249:
1247:
1244:
1242:
1239:
1237:
1234:
1232:
1229:
1227:
1226:Control chart
1224:
1222:
1219:
1217:
1214:
1212:
1209:
1208:
1206:
1204:
1200:
1194:
1191:
1187:
1184:
1182:
1179:
1178:
1177:
1174:
1172:
1169:
1167:
1164:
1163:
1161:
1159:
1155:
1149:
1146:
1144:
1141:
1139:
1136:
1135:
1133:
1129:
1123:
1120:
1119:
1117:
1115:
1111:
1099:
1096:
1094:
1091:
1089:
1086:
1085:
1084:
1081:
1079:
1076:
1075:
1073:
1071:
1067:
1061:
1058:
1056:
1053:
1051:
1048:
1046:
1043:
1041:
1038:
1036:
1033:
1031:
1028:
1027:
1025:
1023:
1019:
1013:
1010:
1008:
1005:
1001:
998:
996:
993:
991:
988:
986:
983:
981:
978:
976:
973:
971:
968:
966:
963:
961:
958:
956:
953:
952:
951:
948:
947:
945:
943:
939:
936:
934:
930:
926:
922:
917:
913:
907:
904:
902:
899:
898:
895:
891:
884:
879:
877:
872:
870:
865:
864:
861:
853:
851:0-471-23065-0
847:
843:
838:
837:
830:
829:
825:
816:
809:
806:
801:
798:Hafen, Ryan.
794:
791:
786:
779:
776:
771:
769:0-85264-241-5
765:
761:
757:
751:
748:
743:
739:
735:
731:
724:
722:
718:
707:
703:
697:
694:
683:
679:
673:
671:
667:
662:
660:0-19-920613-9
656:
651:
650:
641:
639:
635:
624:
620:
614:
612:
610:
606:
599:
595:
592:
590:
587:
585:
582:
580:
579:Least squares
577:
575:
572:
570:
567:
566:
562:
560:
558:
554:
546:
544:
542:
536:
534:
525:
518:
516:
514:
510:
506:
498:
496:
492:
473:
468:
464:
460:
455:
451:
447:
442:
438:
434:
429:
425:
421:
416:
412:
404:
403:
402:
385:
380:
376:
372:
367:
363:
359:
354:
350:
346:
341:
337:
333:
328:
324:
316:
315:
314:
312:
304:
286:
282:
274:
271:
268:, reflecting
267:
249:
245:
237:
234:
216:
212:
204:
201:
197:
193:
175:
171:
163:
162:
161:
159:
155:
147:
145:
143:
139:
135:
124:
121:
113:
102:
99:
95:
92:
88:
85:
81:
78:
74:
71: â
70:
66:
65:Find sources:
59:
55:
49:
48:
43:This article
41:
37:
32:
31:
19:
3244:
3171:
3159:
3140:
3133:
3045:Econometrics
2995: /
2978:Chemometrics
2955:Epidemiology
2948: /
2921:Applications
2763:ARIMA model
2710:Q-statistic
2659:Stationarity
2648:
2555:Multivariate
2498: /
2494: /
2492:Multivariate
2490: /
2430: /
2426: /
2200:Bayes factor
2099:Signed rank
2011:
1985:
1977:
1965:
1660:Completeness
1496:Cohort study
1394:Opinion poll
1329:Missing data
1316:Study design
1271:Scatter plot
1193:Scatter plot
1186:Spearman's Ï
1148:Grouped data
835:
808:
793:
778:
759:
750:
733:
709:. Retrieved
705:
696:
685:. Retrieved
681:
648:
626:. Retrieved
622:
550:
537:
530:
502:
493:
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110:October 2015
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52:Please help
47:verification
44:
3298:Time series
3217:forecasting
3173:WikiProject
3088:Cartography
3050:Jurimetrics
3002:Reliability
2733:Time domain
2712:(LjungâBox)
2634:Time-series
2512:Categorical
2496:Time-series
2488:Categorical
2423:(Bernoulli)
2258:Correlation
2238:Correlation
2034:JarqueâBera
2006:Chi-squared
1768:M-estimator
1721:Asymptotics
1665:Sufficiency
1432:Interaction
1344:Replication
1324:Effect size
1281:Violin plot
1261:Radar chart
1241:Forest plot
1231:Correlogram
1181:Kendall's Ï
760:Time-Series
541:biohydrogen
533:UK airlines
270:seasonality
142:time series
138:statistical
3040:Demography
2758:ARMA model
2563:Regression
2140:(Friedman)
2101:(Wilcoxon)
2039:Normality
2029:Lilliefors
1976:Student's
1852:Resampling
1726:Robustness
1714:divergence
1704:Efficiency
1642:(monotone)
1637:Likelihood
1554:Population
1387:Stratified
1339:Population
1158:Dependence
1114:Count data
1045:Percentile
1022:Dispersion
955:Arithmetic
890:Statistics
711:2016-05-18
687:2016-05-18
628:2016-05-14
600:References
80:newspapers
2421:Logistic
2188:posterior
2114:Rank sum
1862:Jackknife
1857:Bootstrap
1675:Bootstrap
1610:Parameter
1559:Statistic
1354:Statistic
1266:Run chart
1251:Pie chart
1246:Histogram
1236:Fan chart
1211:Bar chart
1093:L-moments
980:Geometric
461:×
448:×
435:×
3292:Category
3135:Category
2828:Survival
2705:Johansen
2428:Binomial
2383:Isotonic
1970:(normal)
1615:location
1422:Blocking
1377:Sampling
1256:QâQ plot
1221:Box plot
1203:Graphics
1098:Skewness
1088:Kurtosis
1060:Variance
990:Heronian
985:Harmonic
758:(1976).
563:See also
547:Software
519:Examples
194:at time
3219:methods
3161:Commons
3108:Kriging
2993:Process
2950:studies
2809:Wavelet
2642:General
1809:Plug-in
1603:L space
1382:Cluster
1083:Moments
901:Outline
842:156â238
94:scholar
3030:Census
2620:Normal
2568:Manova
2388:Robust
2138:2-way
2130:1-way
1968:-test
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1216:Biplot
1007:Median
1000:Lehmer
942:Center
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190:, the
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2654:Trend
2183:prior
2125:anova
2014:-test
1988:-test
1980:-test
1887:Power
1832:Pivot
1625:shape
1620:scale
1070:Shape
1050:Range
995:Heinz
970:Cubic
906:Index
553:BV4.1
136:is a
101:JSTOR
87:books
2887:Test
2087:Sign
1939:Wald
1012:Mode
950:Mean
846:ISBN
764:ISBN
655:ISBN
511:and
132:The
73:news
2067:BIC
2062:AIC
738:doi
56:by
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