670:), Corruption Perceptions Index (Transparency International), and Index of Economic Freedom (the Heritage Foundation). For instance, the Doing Business Indicator of the World Bank measures business regulations and their enforcement in 190 countries. Countries are ranked according to ten indicators that are synthesized to produce the final rank. Each indicator is composed of sub-indicators; for instance, the Registering Property Indicator is composed of four sub-indicators measuring time, procedures, costs, and quality of the land registration system. These kinds of ranks are based on subjective criteria for assigning the score. Sometimes, the adopted parameters may produce discrepancies with the empirical observations, therefore potential biases and paradox may emerge from the application of these criteria.
3510:
222:
number of items ranked above it. This ranking strategy is frequently adopted for competitions, as it means that if two (or more) competitors tie for a position in the ranking, the position of all those ranked below them is unaffected (i.e., a competitor only comes second if exactly one person scores better than them, third if exactly two people score better than them, fourth if exactly three people score better than them, etc.).
3496:
684:
596:
451:
59:
3534:
403:
3522:
656:
In business, league tables list the leaders in the business activity within a specific industry, ranking companies based on different criteria including revenue, earnings, and other relevant key performance indicators (such as market share and meeting customer expectations) enabling people to quickly
249:
the sets of equal-ranking items (rather than after them as in standard competition ranking). The number of ranking numbers that are left out in this gap remains one less than the number of items that compared equal. Equivalently, each item's ranking number is equal to the number of items ranked equal
221:
In competition ranking, items that compare equal receive the same ranking number, and then a gap is left in the ranking numbers. The number of ranking numbers that are left out in this gap is one less than the number of items that compared equal. Equivalently, each item's ranking number is 1 plus the
665:
The rank methodology based on some specific indices is one of the most common systems used by policy makers and international organizations in order to assess the socio-economic context of the countries. Some notable examples include the Human
Development Index (United Nations), Doing Business Index
253:
Thus if A ranks ahead of B and C (which compare equal) which are both ranked ahead of D, then A gets ranking number 1 ("first"), B gets ranking number 3 ("joint third"), C also gets ranking number 3 ("joint third") and D gets ranking number 4 ("fourth"). In this case, nobody would get ranking number
850:
In language, the status of an item (usually through what is known as "downranking" or "rank-shifting") in relation to the uppermost rank in a clause; for example, in the sentence "I want to eat the cake you made today", "eat" is on the uppermost rank, but "made" is downranked as part of the nominal
581:
It is complained that the ranking of
England's schools to rigid guidelines that fail to take into account wider social conditions actually makes failing schools even worse. This is because the most involved parents will then avoid such schools, leaving only the children of non-ambitious parents to
281:
In ordinal ranking, all items receive distinct ordinal numbers, including items that compare equal. The assignment of distinct ordinal numbers to items that compare equal can be done at random, or arbitrarily, but it is generally preferable to use a system that is arbitrary but consistent, as this
311:
of what they would have under ordinal rankings; equivalently, the ranking number of 1 plus the number of items ranked above it plus half the number of items equal to it. This strategy has the property that the sum of the ranking numbers is the same as under ordinal ranking. For this reason, it is
786:
to a user's query using a combination of query-dependent and query-independent methods. Query-independent methods attempt to measure the estimated importance of a page, independent of any consideration of how well it matches the specific query. Query-independent ranking is usually based on link
265:
In dense ranking, items that compare equally receive the same ranking number, and the next items receive the immediately following ranking number. Equivalently, each item's ranking number is 1 plus the number of items ranked above it that are distinct with respect to the ranking order.
212:
A common shorthand way to distinguish these ranking strategies is by the ranking numbers that would be produced for four items, with the first item ranked ahead of the second and third (which compare equal) which are both ranked ahead of the fourth. These names are also shown below.
282:
gives stable results if the ranking is done multiple times. An example of an arbitrary but consistent system would be to incorporate other attributes into the ranking order (such as alphabetical ordering of the competitor's name) to ensure that no two items exactly match.
574:. The primary aim of these rankings is to inform potential applicants about British universities based on a range of criteria. Similarly, in countries like India, league tables are being developed and a popular magazine, Education World, published them based on data from
551:
order institutions in higher education by combinations of factors. In addition to entire institutions, specific programs, departments, and schools are ranked. These rankings usually are conducted by magazines, newspapers, governments and academics. For example,
225:
Thus if A ranks ahead of B and C (which compare equal) which are both ranked ahead of D, then A gets ranking number 1 ("first"), B gets ranking number 2 ("joint second"), C also gets ranking number 2 ("joint second") and D gets ranking number 4 ("fourth").
269:
Thus if A ranks ahead of B and C (which compare equal) which are both ranked ahead of D, then A gets ranking number 1 ("first"), B gets ranking number 2 ("joint second"), C also gets ranking number 2 ("joint second") and D gets ranking number 3 ("Third").
319:
Thus if A ranks ahead of B and C (which compare equal) which are both ranked ahead of D, then A gets ranking number 1 ("first"), B and C each get ranking number 2.5 (average of "joint second/third") and D gets ranking number 4 ("fourth").
745:
In politics, rankings may focus on the comparison of economic, social, environmental and governance performance of countries. Politicians themselves have also been ranked, based on the extent of their activities.
250:
to it or above it. This ranking ensures that a competitor only comes second if they score higher than all but one of their opponents, third if they score higher than all but two of their opponents, etc.
186:, rankings make it possible to evaluate complex information according to certain criteria. Thus, for example, an Internet search engine may rank the pages it finds according to an estimation of their
378:
As another example, the ordinal data hot, cold, warm would be replaced by 3, 1, 2. In these examples, the ranks are assigned to values in ascending order, although descending ranks can also be used.
285:
With this strategy, if A ranks ahead of B and C (which compare equal) which are both ranked ahead of D, then A gets ranking number 1 ("first") and D gets ranking number 4 ("fourth"), and
799:. Query-dependent methods attempt to measure the degree to which a page matches a specific query, independent of the importance of the page. Query-dependent ranking is usually based on
205:
It is not always possible to assign rankings uniquely. For example, in a race or competition two (or more) entrants might tie for a place in the ranking. When computing an
329:
For v = 1.0, the fractional rank is the average of the ordinal ranks: (1 + 2) / 2 = 1.5. In a similar manner, for v = 5.0, the fractional rank is (7 + 8 + 9) / 3 = 8.0.
2631:
175:
of objects because two different objects can have the same ranking. The rankings themselves are totally ordered. For example, materials are totally preordered by
3136:
432:, rankings, or league tables group teams of a particular league, conference, or division in a chart based on how well each is doing in a particular season of a
436:
or competition. These lists are generally published in newspapers and other media, as well as the official web sites of the sports leagues and competitions.
3286:
2910:
209:, two (or more) of the quantities being ranked might measure equal. In these cases, one of the strategies below for assigning the rankings may be adopted.
1551:
1204:
819:
2684:
3123:
818:, it is possible to rank institutions according to their presence in the web (number of webpages) and the impact of these contents, such as the
553:
1546:
1246:
2150:
1298:
3538:
375:
For example, if the numerical data 3.4, 5.1, 2.6, 7.3 are observed, the ranks of these data items would be 2, 3, 1 and 4 respectively.
3576:
3566:
2933:
2825:
1157:
Rieds - Rivista
Italiana di Economia, Demografia e Statistica - the Italian Journal of Economic, Demographic and Statistical Studies
1135:
1114:
731:
643:
534:
419:
142:
163:, such that, for any two items, the first is either "ranked higher than", "ranked lower than", or "ranked equal to" the second. In
3111:
2985:
361:
833:" is to achieve a higher ranking relative to other players, especially with strategies that do not depend on the player's skill.
3169:
2830:
2575:
1946:
1536:
548:
2160:
3220:
2432:
2239:
2128:
2086:
709:
621:
472:
80:
31:
1325:
3463:
2422:
273:
This method is called "Sequential" by IBM SPSS and "dense" by the R programming language in their methods to handle ties.
47:
2472:
3014:
2963:
2948:
2938:
2807:
2679:
2646:
2427:
2257:
3083:
2384:
3358:
3159:
2138:
1807:
1271:
515:
335:
This method is called "Mean" by IBM SPSS and "average" by the R programming language in their methods to handle ties.
123:
3243:
3210:
694:
606:
487:
95:
3215:
2958:
2717:
2623:
2603:
2511:
2222:
2040:
1523:
1395:
299:
This method corresponds to the "first", "last", and "random" methods in the R programming language to handle ties.
2389:
2155:
2013:
713:
698:
625:
610:
461:
257:
This method is called "High" by IBM SPSS and "max" by the R programming language in their methods to handle ties.
69:
2975:
2743:
2464:
2318:
2247:
2167:
2025:
2006:
1714:
1435:
1153:"World Bank Doing Business Project and the statistical methods based on ranks: the paradox of the time indicator"
851:
group "the cake you made today"; this nominal group behaves as though it were a single noun (i.e., I want to eat
194:
3088:
3458:
3225:
2773:
2738:
2702:
2487:
1929:
1838:
1797:
1709:
1400:
1239:
705:
617:
494:
468:
234:
102:
76:
2495:
2479:
768:
are subordinated securities; they would rank behind senior debt in a wind up. In other words, the holders of
3367:
2980:
2920:
2857:
2217:
2079:
2069:
1919:
1833:
885:
3128:
3065:
1007:
977:"The Data School - How to Rank by Group in Alteryx - Part 1 - Standard Competition, Dense, Ordinal Ranking"
179:, while degrees of hardness are totally ordered. If two items are the same in rank it is considered a tie.
3405:
3335:
2820:
2707:
1704:
1601:
1508:
1387:
1286:
1038:
976:
3526:
2404:
501:
109:
3430:
3372:
3315:
3141:
3034:
2943:
2669:
2553:
2412:
2294:
2286:
2101:
1997:
1975:
1934:
1899:
1866:
1812:
1787:
1742:
1681:
1641:
1443:
1266:
928:
803:
that consider the number and locations of matches of the various query words on the page itself, in the
43:
3509:
2399:
3552:
1209:
3353:
2928:
2877:
2853:
2815:
2733:
2712:
2664:
2543:
2521:
2490:
2276:
2227:
2145:
2118:
2074:
2030:
1792:
1568:
1448:
1062:
415:
357:
345:
168:
1199:
483:
91:
3500:
3425:
3348:
3029:
2793:
2786:
2748:
2656:
2636:
2608:
2341:
2207:
2202:
2192:
2184:
2002:
1963:
1853:
1843:
1752:
1531:
1487:
1405:
1330:
1232:
757:
206:
3075:
3514:
3325:
3179:
3024:
2900:
2797:
2781:
2758:
2535:
2269:
2252:
2212:
2123:
2018:
1980:
1951:
1911:
1871:
1817:
1734:
1420:
1415:
429:
395:
323:
Here is an example: Suppose you have the data set 1.0, 1.0, 2.0, 3.0, 3.0, 4.0, 5.0, 5.0, 5.0.
3571:
3420:
3390:
3382:
3202:
3193:
3118:
3049:
2905:
2890:
2865:
2753:
2694:
2560:
2548:
2174:
2091:
2035:
1958:
1802:
1724:
1503:
1377:
1131:
1110:
773:
761:
752:
standing, the ranking of a security refers to where that particular security would stand in a
190:, making it possible for the user quickly to select the pages they are likely to want to see.
39:
840:
ranking system is a skill based ranking system for Xbox Live developed at
Microsoft Research.
3445:
3400:
3164:
3151:
3044:
3019:
2953:
2885:
2763:
2371:
2264:
2197:
2110:
2057:
1876:
1747:
1541:
1340:
1307:
858:
749:
564:
381:
35:
1109:
Chris
Roberts, Heavy Words Lightly Thrown: The Reason Behind Rhyme, Thorndike Press, 2006 (
3362:
3106:
2968:
2895:
2570:
2444:
2417:
2394:
2363:
1990:
1985:
1939:
1669:
1320:
941:
880:
558:
183:
1219:
1175:
3311:
3306:
1769:
1699:
1345:
788:
547:
League tables are used to compare the academic achievements of different institutions.
3560:
3468:
3435:
3298:
3259:
3070:
3039:
2503:
2457:
2062:
1764:
1591:
1355:
1350:
862:
779:
508:
433:
407:
369:
296:
In computer data processing, ordinal ranking is also referred to as "row numbering".
116:
1621:
905:
3410:
3343:
3320:
3235:
2565:
1861:
1759:
1694:
1636:
1558:
1513:
1152:
875:
826:
765:
164:
245:
Sometimes, competition ranking is done by leaving the gaps in the ranking numbers
3453:
3415:
3098:
2999:
2861:
2674:
2641:
2133:
2050:
2045:
1689:
1646:
1626:
1606:
1596:
1365:
815:
808:
769:
753:
683:
595:
450:
411:
313:
172:
58:
2299:
1779:
1479:
1410:
1360:
1335:
1255:
957:"The young people's labour market and crisis of integration in European Union"
844:
667:
353:
2452:
2304:
1924:
1719:
1631:
1616:
1611:
1576:
837:
800:
796:
783:
570:
187:
30:"Rankings", "Ranked", and "Second place" redirect here. For other uses, see
332:
Thus the fractional ranks are: 1.5, 1.5, 3.0, 4.5, 4.5, 6.0, 8.0, 8.0, 8.0
402:
293:
C gets ranking number 2 ("second") and B gets ranking number 3 ("third").
1968:
1586:
1463:
1458:
1453:
1425:
855:), and thus the verb within it ("made") is ranked differently from "eat".
792:
384:, which consists of the original dataset rearranged into ascending order.
289:
B gets ranking number 2 ("second") and C gets ranking number 3 ("third")
176:
17:
3473:
3174:
1214:
830:
475: in this section. Unsourced material may be challenged and removed.
307:
Items that compare equal receive the same ranking number, which is the
3395:
2376:
2350:
2330:
1581:
1372:
1151:
RIEDS, Italian Review of
Economics Demography and Statistics (2014).
865:; the number of later articles that cite articles in a given journal.
365:
956:
920:
1130:. Gale Research International, Limited. October 2000. p. 740.
425:
401:
1315:
308:
230:
160:
3284:
2851:
2598:
1897:
1667:
1284:
1228:
804:
677:
589:
444:
159:
is a relationship between a set of items, often recorded in a
52:
1224:
1200:
RANKNUM, a Matlab function to compute the five types of ranks
372:
values are replaced by their rank when the data are sorted.
921:"Wroclaw University of Technology graduates' career paths"
1086:
193:
Analysis of data obtained by ranking commonly requires
1176:"A Multidimensional Ranking of Members of Parliament"
3137:
Autoregressive conditional heteroskedasticity (ARCH)
3444:
3381:
3334:
3297:
3252:
3234:
3201:
3192:
3150:
3097:
3058:
3007:
2998:
2919:
2876:
2806:
2772:
2726:
2693:
2655:
2622:
2534:
2443:
2362:
2317:
2285:
2238:
2183:
2109:
2100:
1910:
1852:
1826:
1778:
1733:
1680:
1567:
1522:
1496:
1478:
1434:
1386:
1306:
1297:
83:. Unsourced material may be challenged and removed.
326:The ordinal ranks are 1, 2, 3, 4, 5, 6, 7, 8, 9.
1087:"Rankings of universities in the United Kingdom"
2685:Multivariate adaptive regression splines (MARS)
1220:List of Global Development Indexes and Rankings
182:By reducing detailed measures to a sequence of
1205:Matlab Toolbox with functions to compute ranks
919:Malara, Zbigniew; MiĆko, RafaĆ; Sulich, Adam.
254:2 ("second") and that would be left as a gap.
1240:
847:ranks common noun phrases in a piece of text.
241:Modified competition ranking ("1334" ranking)
217:Standard competition ranking ("1224" ranking)
8:
712:. Unsourced material may be challenged and
624:. Unsourced material may be challenged and
3294:
3281:
3198:
3004:
2873:
2848:
2619:
2595:
2323:
2106:
1907:
1894:
1677:
1664:
1303:
1294:
1281:
1247:
1233:
1225:
303:Fractional ranking ("1 2.5 2.5 4" ranking)
820:Webometrics Ranking of World Universities
732:Learn how and when to remove this message
644:Learn how and when to remove this message
535:Learn how and when to remove this message
380:Ranks are related to the indexed list of
143:Learn how and when to remove this message
897:
3211:KaplanâMeier estimator (product limit)
937:
926:
829:, players may be given a ranking. To "
316:and in statistical tests (see below).
554:league tables of British universities
7:
3521:
3221:Accelerated failure time (AFT) model
1033:
1031:
1029:
1027:
1002:
1000:
998:
996:
710:adding citations to reliable sources
622:adding citations to reliable sources
473:adding citations to reliable sources
171:of objects. It is not necessarily a
81:adding citations to reliable sources
3533:
2816:Analysis of variance (ANOVA, anova)
27:Relationship between items in a set
2911:CochranâMantelâHaenszel statistics
1537:Pearson product-moment correlation
861:are sometimes ranked according to
756:of the issuing company, i.e., its
25:
782:rank web pages by their expected
420:2007 Major League Baseball season
237:in their methods to handle ties.
3532:
3520:
3508:
3495:
3494:
1039:"rank function - RDocumentation"
682:
594:
449:
394:This section is an excerpt from
344:This section is an excerpt from
277:Ordinal ranking ("1234" ranking)
57:
3170:Least-squares spectral analysis
1215:Ranking Library written in Ruby
787:analysis; examples include the
549:College and university rankings
460:needs additional citations for
229:This method is called "Low" by
68:needs additional citations for
2151:Mean-unbiased minimum-variance
261:Dense ranking ("1223" ranking)
32:List of international rankings
1:
3464:Geographic information system
2680:Simultaneous equations models
48:Second Place (disambiguation)
2647:Coefficient of determination
2258:Uniformly most powerful test
201:Strategies for handling ties
169:weak order or total preorder
3216:Proportional hazards models
3160:Spectral density estimation
3142:Vector autoregression (VAR)
2576:Maximum posterior estimator
1808:Randomized controlled trial
776:holders received any funds.
418:division at the end of the
3593:
2976:Multivariate distributions
1396:Average absolute deviation
657:analyze significant data.
556:are published annually by
393:
343:
29:
3577:Comparison (mathematical)
3490:
3293:
3280:
2964:Structural equation model
2872:
2847:
2618:
2594:
2326:
2300:Score/Lagrange multiplier
1906:
1893:
1715:Sample size determination
1676:
1663:
1293:
1280:
1262:
772:would be paid out before
414:, with standings for the
195:non-parametric statistics
3567:Nonparametric statistics
3459:Environmental statistics
2981:Elliptical distributions
2774:Generalized linear model
2703:Simple linear regression
2473:HodgesâLehmann estimator
1930:Probability distribution
1839:Stochastic approximation
1401:Coefficient of variation
1210:TrueSkill Ranking System
1174:Tofallis, Chris (2022).
3119:Cross-correlation (XCF)
2727:Non-standard predictors
2161:LehmannâScheffĂ© theorem
1834:Adaptive clinical trial
1128:Business Ranking Annual
981:www.thedataschool.co.uk
906:"Definition of RANKING"
886:Rating (disambiguation)
3515:Mathematics portal
3336:Engineering statistics
3244:NelsonâAalen estimator
2821:Analysis of covariance
2708:Ordinary least squares
2632:Pearson product-moment
2036:Statistical functional
1947:Empirical distribution
1780:Controlled experiments
1509:Frequency distribution
1287:Descriptive statistics
1063:"R: Fast Sample Ranks"
1043:www.rdocumentation.org
936:Cite journal requires
811:referring to the page.
422:
406:A partial view of the
235:R programming language
3431:Population statistics
3373:System identification
3107:Autocorrelation (ACF)
3035:Exponential smoothing
2949:Discriminant analysis
2944:Canonical correlation
2808:Partition of variance
2670:Regression validation
2514:(JonckheereâTerpstra)
2413:Likelihood-ratio test
2102:Frequentist inference
2014:Locationâscale family
1935:Sampling distribution
1900:Statistical inference
1867:Cross-sectional study
1854:Observational studies
1813:Randomized experiment
1642:Stem-and-leaf display
1444:Central limit theorem
405:
167:, this is known as a
44:Rank (disambiguation)
3354:Probabilistic design
2939:Principal components
2782:Exponential families
2734:Nonlinear regression
2713:General linear model
2675:Mixed effects models
2665:Errors and residuals
2642:Confounding variable
2544:Bayesian probability
2522:Van der Waerden test
2512:Ordered alternative
2277:Multiple comparisons
2156:RaoâBlackwellization
2119:Estimating equations
2075:Statistical distance
1793:Factorial experiment
1326:Arithmetic-Geometric
1067:search.r-project.org
706:improve this section
618:improve this section
576:TheLearningPoint.net
469:improve this article
416:American League East
346:Ranking (statistics)
77:improve this article
3426:Official statistics
3349:Methods engineering
3030:Seasonal adjustment
2798:Poisson regressions
2718:Bayesian regression
2657:Regression analysis
2637:Partial correlation
2609:Regression analysis
2208:Prediction interval
2203:Likelihood interval
2193:Confidence interval
2185:Interval estimation
2146:Unbiased estimators
1964:Model specification
1844:Up-and-down designs
1532:Partial correlation
1488:Index of dispersion
1406:Interquartile range
362:data transformation
207:ordinal measurement
3446:Spatial statistics
3326:Medical statistics
3226:First hitting time
3180:Whittle likelihood
2831:Degrees of freedom
2826:Multivariate ANOVA
2759:Heteroscedasticity
2571:Bayesian estimator
2536:Bayesian inference
2385:KolmogorovâSmirnov
2270:Randomization test
2240:Testing hypotheses
2213:Tolerance interval
2124:Maximum likelihood
2019:Exponential family
1952:Density estimation
1912:Statistical theory
1872:Natural experiment
1818:Scientific control
1735:Survey methodology
1421:Standard deviation
1183:Radical Statistics
1008:"Rank Cases: Ties"
423:
396:Standings (sports)
312:used in computing
3548:
3547:
3486:
3485:
3482:
3481:
3421:National accounts
3391:Actuarial science
3383:Social statistics
3276:
3275:
3272:
3271:
3268:
3267:
3203:Survival function
3188:
3187:
3050:Granger causality
2891:Contingency table
2866:Survival analysis
2843:
2842:
2839:
2838:
2695:Linear regression
2590:
2589:
2586:
2585:
2561:Credible interval
2530:
2529:
2313:
2312:
2129:Method of moments
1998:Parametric family
1959:Statistical model
1889:
1888:
1885:
1884:
1803:Random assignment
1725:Statistical power
1659:
1658:
1655:
1654:
1504:Contingency table
1474:
1473:
1341:Generalized/power
859:Academic journals
774:subordinated debt
762:capital structure
760:in the company's
742:
741:
734:
654:
653:
646:
545:
544:
537:
519:
233:and "min" by the
153:
152:
145:
127:
40:Ranking (surname)
16:(Redirected from
3584:
3536:
3535:
3524:
3523:
3513:
3512:
3498:
3497:
3401:Crime statistics
3295:
3282:
3199:
3165:Fourier analysis
3152:Frequency domain
3132:
3079:
3045:Structural break
3005:
2954:Cluster analysis
2901:Log-linear model
2874:
2849:
2790:
2764:Homoscedasticity
2620:
2596:
2515:
2507:
2499:
2498:(KruskalâWallis)
2483:
2468:
2423:Cross validation
2408:
2390:AndersonâDarling
2337:
2324:
2295:Likelihood-ratio
2287:Parametric tests
2265:Permutation test
2248:1- & 2-tails
2139:Minimum distance
2111:Point estimation
2107:
2058:Optimal decision
2009:
1908:
1895:
1877:Quasi-experiment
1827:Adaptive designs
1678:
1665:
1542:Rank correlation
1304:
1295:
1282:
1249:
1242:
1235:
1226:
1187:
1186:
1180:
1171:
1165:
1164:
1148:
1142:
1141:
1124:
1118:
1107:
1101:
1100:
1099:
1098:
1083:
1077:
1076:
1074:
1073:
1059:
1053:
1052:
1050:
1049:
1035:
1022:
1021:
1019:
1018:
1004:
991:
990:
988:
987:
973:
967:
966:
964:
963:
952:
946:
945:
939:
934:
932:
924:
916:
910:
909:
902:
764:. For instance,
737:
730:
726:
723:
717:
686:
678:
649:
642:
638:
635:
629:
598:
590:
565:The Sunday Times
540:
533:
529:
526:
520:
518:
477:
453:
445:
382:order statistics
148:
141:
137:
134:
128:
126:
85:
61:
53:
36:Ranked (musical)
21:
3592:
3591:
3587:
3586:
3585:
3583:
3582:
3581:
3557:
3556:
3549:
3544:
3507:
3478:
3440:
3377:
3363:quality control
3330:
3312:Clinical trials
3289:
3264:
3248:
3236:Hazard function
3230:
3184:
3146:
3130:
3093:
3089:BreuschâGodfrey
3077:
3054:
2994:
2969:Factor analysis
2915:
2896:Graphical model
2868:
2835:
2802:
2788:
2768:
2722:
2689:
2651:
2614:
2613:
2582:
2526:
2513:
2505:
2497:
2481:
2466:
2445:Rank statistics
2439:
2418:Model selection
2406:
2364:Goodness of fit
2358:
2335:
2309:
2281:
2234:
2179:
2168:Median unbiased
2096:
2007:
1940:Order statistic
1902:
1881:
1848:
1822:
1774:
1729:
1672:
1670:Data collection
1651:
1563:
1518:
1492:
1470:
1430:
1382:
1299:Continuous data
1289:
1276:
1258:
1253:
1196:
1191:
1190:
1178:
1173:
1172:
1168:
1150:
1149:
1145:
1138:
1126:
1125:
1121:
1108:
1104:
1096:
1094:
1091:Knowledge (XXG)
1085:
1084:
1080:
1071:
1069:
1061:
1060:
1056:
1047:
1045:
1037:
1036:
1025:
1016:
1014:
1006:
1005:
994:
985:
983:
975:
974:
970:
961:
959:
954:
953:
949:
935:
925:
918:
917:
913:
904:
903:
899:
894:
881:Percentile rank
872:
748:In relation to
738:
727:
721:
718:
703:
687:
676:
663:
650:
639:
633:
630:
615:
599:
588:
559:The Independent
541:
530:
524:
521:
478:
476:
466:
454:
443:
438:
437:
399:
391:
386:
385:
349:
341:
305:
279:
263:
243:
219:
203:
184:ordinal numbers
149:
138:
132:
129:
86:
84:
74:
62:
51:
28:
23:
22:
15:
12:
11:
5:
3590:
3588:
3580:
3579:
3574:
3569:
3559:
3558:
3555:
3554:
3546:
3545:
3543:
3542:
3530:
3518:
3504:
3491:
3488:
3487:
3484:
3483:
3480:
3479:
3477:
3476:
3471:
3466:
3461:
3456:
3450:
3448:
3442:
3441:
3439:
3438:
3433:
3428:
3423:
3418:
3413:
3408:
3403:
3398:
3393:
3387:
3385:
3379:
3378:
3376:
3375:
3370:
3365:
3356:
3351:
3346:
3340:
3338:
3332:
3331:
3329:
3328:
3323:
3318:
3309:
3307:Bioinformatics
3303:
3301:
3291:
3290:
3285:
3278:
3277:
3274:
3273:
3270:
3269:
3266:
3265:
3263:
3262:
3256:
3254:
3250:
3249:
3247:
3246:
3240:
3238:
3232:
3231:
3229:
3228:
3223:
3218:
3213:
3207:
3205:
3196:
3190:
3189:
3186:
3185:
3183:
3182:
3177:
3172:
3167:
3162:
3156:
3154:
3148:
3147:
3145:
3144:
3139:
3134:
3126:
3121:
3116:
3115:
3114:
3112:partial (PACF)
3103:
3101:
3095:
3094:
3092:
3091:
3086:
3081:
3073:
3068:
3062:
3060:
3059:Specific tests
3056:
3055:
3053:
3052:
3047:
3042:
3037:
3032:
3027:
3022:
3017:
3011:
3009:
3002:
2996:
2995:
2993:
2992:
2991:
2990:
2989:
2988:
2973:
2972:
2971:
2961:
2959:Classification
2956:
2951:
2946:
2941:
2936:
2931:
2925:
2923:
2917:
2916:
2914:
2913:
2908:
2906:McNemar's test
2903:
2898:
2893:
2888:
2882:
2880:
2870:
2869:
2852:
2845:
2844:
2841:
2840:
2837:
2836:
2834:
2833:
2828:
2823:
2818:
2812:
2810:
2804:
2803:
2801:
2800:
2784:
2778:
2776:
2770:
2769:
2767:
2766:
2761:
2756:
2751:
2746:
2744:Semiparametric
2741:
2736:
2730:
2728:
2724:
2723:
2721:
2720:
2715:
2710:
2705:
2699:
2697:
2691:
2690:
2688:
2687:
2682:
2677:
2672:
2667:
2661:
2659:
2653:
2652:
2650:
2649:
2644:
2639:
2634:
2628:
2626:
2616:
2615:
2612:
2611:
2606:
2600:
2599:
2592:
2591:
2588:
2587:
2584:
2583:
2581:
2580:
2579:
2578:
2568:
2563:
2558:
2557:
2556:
2551:
2540:
2538:
2532:
2531:
2528:
2527:
2525:
2524:
2519:
2518:
2517:
2509:
2501:
2485:
2482:(MannâWhitney)
2477:
2476:
2475:
2462:
2461:
2460:
2449:
2447:
2441:
2440:
2438:
2437:
2436:
2435:
2430:
2425:
2415:
2410:
2407:(ShapiroâWilk)
2402:
2397:
2392:
2387:
2382:
2374:
2368:
2366:
2360:
2359:
2357:
2356:
2348:
2339:
2327:
2321:
2319:Specific tests
2315:
2314:
2311:
2310:
2308:
2307:
2302:
2297:
2291:
2289:
2283:
2282:
2280:
2279:
2274:
2273:
2272:
2262:
2261:
2260:
2250:
2244:
2242:
2236:
2235:
2233:
2232:
2231:
2230:
2225:
2215:
2210:
2205:
2200:
2195:
2189:
2187:
2181:
2180:
2178:
2177:
2172:
2171:
2170:
2165:
2164:
2163:
2158:
2143:
2142:
2141:
2136:
2131:
2126:
2115:
2113:
2104:
2098:
2097:
2095:
2094:
2089:
2084:
2083:
2082:
2072:
2067:
2066:
2065:
2055:
2054:
2053:
2048:
2043:
2033:
2028:
2023:
2022:
2021:
2016:
2011:
1995:
1994:
1993:
1988:
1983:
1973:
1972:
1971:
1966:
1956:
1955:
1954:
1944:
1943:
1942:
1932:
1927:
1922:
1916:
1914:
1904:
1903:
1898:
1891:
1890:
1887:
1886:
1883:
1882:
1880:
1879:
1874:
1869:
1864:
1858:
1856:
1850:
1849:
1847:
1846:
1841:
1836:
1830:
1828:
1824:
1823:
1821:
1820:
1815:
1810:
1805:
1800:
1795:
1790:
1784:
1782:
1776:
1775:
1773:
1772:
1770:Standard error
1767:
1762:
1757:
1756:
1755:
1750:
1739:
1737:
1731:
1730:
1728:
1727:
1722:
1717:
1712:
1707:
1702:
1700:Optimal design
1697:
1692:
1686:
1684:
1674:
1673:
1668:
1661:
1660:
1657:
1656:
1653:
1652:
1650:
1649:
1644:
1639:
1634:
1629:
1624:
1619:
1614:
1609:
1604:
1599:
1594:
1589:
1584:
1579:
1573:
1571:
1565:
1564:
1562:
1561:
1556:
1555:
1554:
1549:
1539:
1534:
1528:
1526:
1520:
1519:
1517:
1516:
1511:
1506:
1500:
1498:
1497:Summary tables
1494:
1493:
1491:
1490:
1484:
1482:
1476:
1475:
1472:
1471:
1469:
1468:
1467:
1466:
1461:
1456:
1446:
1440:
1438:
1432:
1431:
1429:
1428:
1423:
1418:
1413:
1408:
1403:
1398:
1392:
1390:
1384:
1383:
1381:
1380:
1375:
1370:
1369:
1368:
1363:
1358:
1353:
1348:
1343:
1338:
1333:
1331:Contraharmonic
1328:
1323:
1312:
1310:
1301:
1291:
1290:
1285:
1278:
1277:
1275:
1274:
1269:
1263:
1260:
1259:
1254:
1252:
1251:
1244:
1237:
1229:
1223:
1222:
1217:
1212:
1207:
1202:
1195:
1194:External links
1192:
1189:
1188:
1166:
1143:
1136:
1119:
1102:
1078:
1054:
1023:
992:
968:
955:Sulich, Adam.
947:
938:|journal=
911:
896:
895:
893:
890:
889:
888:
883:
878:
871:
868:
867:
866:
856:
848:
841:
834:
823:
812:
789:HITS algorithm
780:Search engines
777:
746:
740:
739:
722:September 2011
690:
688:
681:
675:
674:Other examples
672:
662:
659:
652:
651:
602:
600:
593:
587:
584:
543:
542:
457:
455:
448:
442:
439:
400:
392:
390:
387:
350:
342:
340:
337:
304:
301:
278:
275:
262:
259:
242:
239:
218:
215:
202:
199:
151:
150:
65:
63:
56:
26:
24:
14:
13:
10:
9:
6:
4:
3:
2:
3589:
3578:
3575:
3573:
3570:
3568:
3565:
3564:
3562:
3553:
3551:
3550:
3541:
3540:
3531:
3529:
3528:
3519:
3517:
3516:
3511:
3505:
3503:
3502:
3493:
3492:
3489:
3475:
3472:
3470:
3469:Geostatistics
3467:
3465:
3462:
3460:
3457:
3455:
3452:
3451:
3449:
3447:
3443:
3437:
3436:Psychometrics
3434:
3432:
3429:
3427:
3424:
3422:
3419:
3417:
3414:
3412:
3409:
3407:
3404:
3402:
3399:
3397:
3394:
3392:
3389:
3388:
3386:
3384:
3380:
3374:
3371:
3369:
3366:
3364:
3360:
3357:
3355:
3352:
3350:
3347:
3345:
3342:
3341:
3339:
3337:
3333:
3327:
3324:
3322:
3319:
3317:
3313:
3310:
3308:
3305:
3304:
3302:
3300:
3299:Biostatistics
3296:
3292:
3288:
3283:
3279:
3261:
3260:Log-rank test
3258:
3257:
3255:
3251:
3245:
3242:
3241:
3239:
3237:
3233:
3227:
3224:
3222:
3219:
3217:
3214:
3212:
3209:
3208:
3206:
3204:
3200:
3197:
3195:
3191:
3181:
3178:
3176:
3173:
3171:
3168:
3166:
3163:
3161:
3158:
3157:
3155:
3153:
3149:
3143:
3140:
3138:
3135:
3133:
3131:(BoxâJenkins)
3127:
3125:
3122:
3120:
3117:
3113:
3110:
3109:
3108:
3105:
3104:
3102:
3100:
3096:
3090:
3087:
3085:
3084:DurbinâWatson
3082:
3080:
3074:
3072:
3069:
3067:
3066:DickeyâFuller
3064:
3063:
3061:
3057:
3051:
3048:
3046:
3043:
3041:
3040:Cointegration
3038:
3036:
3033:
3031:
3028:
3026:
3023:
3021:
3018:
3016:
3015:Decomposition
3013:
3012:
3010:
3006:
3003:
3001:
2997:
2987:
2984:
2983:
2982:
2979:
2978:
2977:
2974:
2970:
2967:
2966:
2965:
2962:
2960:
2957:
2955:
2952:
2950:
2947:
2945:
2942:
2940:
2937:
2935:
2932:
2930:
2927:
2926:
2924:
2922:
2918:
2912:
2909:
2907:
2904:
2902:
2899:
2897:
2894:
2892:
2889:
2887:
2886:Cohen's kappa
2884:
2883:
2881:
2879:
2875:
2871:
2867:
2863:
2859:
2855:
2850:
2846:
2832:
2829:
2827:
2824:
2822:
2819:
2817:
2814:
2813:
2811:
2809:
2805:
2799:
2795:
2791:
2785:
2783:
2780:
2779:
2777:
2775:
2771:
2765:
2762:
2760:
2757:
2755:
2752:
2750:
2747:
2745:
2742:
2740:
2739:Nonparametric
2737:
2735:
2732:
2731:
2729:
2725:
2719:
2716:
2714:
2711:
2709:
2706:
2704:
2701:
2700:
2698:
2696:
2692:
2686:
2683:
2681:
2678:
2676:
2673:
2671:
2668:
2666:
2663:
2662:
2660:
2658:
2654:
2648:
2645:
2643:
2640:
2638:
2635:
2633:
2630:
2629:
2627:
2625:
2621:
2617:
2610:
2607:
2605:
2602:
2601:
2597:
2593:
2577:
2574:
2573:
2572:
2569:
2567:
2564:
2562:
2559:
2555:
2552:
2550:
2547:
2546:
2545:
2542:
2541:
2539:
2537:
2533:
2523:
2520:
2516:
2510:
2508:
2502:
2500:
2494:
2493:
2492:
2489:
2488:Nonparametric
2486:
2484:
2478:
2474:
2471:
2470:
2469:
2463:
2459:
2458:Sample median
2456:
2455:
2454:
2451:
2450:
2448:
2446:
2442:
2434:
2431:
2429:
2426:
2424:
2421:
2420:
2419:
2416:
2414:
2411:
2409:
2403:
2401:
2398:
2396:
2393:
2391:
2388:
2386:
2383:
2381:
2379:
2375:
2373:
2370:
2369:
2367:
2365:
2361:
2355:
2353:
2349:
2347:
2345:
2340:
2338:
2333:
2329:
2328:
2325:
2322:
2320:
2316:
2306:
2303:
2301:
2298:
2296:
2293:
2292:
2290:
2288:
2284:
2278:
2275:
2271:
2268:
2267:
2266:
2263:
2259:
2256:
2255:
2254:
2251:
2249:
2246:
2245:
2243:
2241:
2237:
2229:
2226:
2224:
2221:
2220:
2219:
2216:
2214:
2211:
2209:
2206:
2204:
2201:
2199:
2196:
2194:
2191:
2190:
2188:
2186:
2182:
2176:
2173:
2169:
2166:
2162:
2159:
2157:
2154:
2153:
2152:
2149:
2148:
2147:
2144:
2140:
2137:
2135:
2132:
2130:
2127:
2125:
2122:
2121:
2120:
2117:
2116:
2114:
2112:
2108:
2105:
2103:
2099:
2093:
2090:
2088:
2085:
2081:
2078:
2077:
2076:
2073:
2071:
2068:
2064:
2063:loss function
2061:
2060:
2059:
2056:
2052:
2049:
2047:
2044:
2042:
2039:
2038:
2037:
2034:
2032:
2029:
2027:
2024:
2020:
2017:
2015:
2012:
2010:
2004:
2001:
2000:
1999:
1996:
1992:
1989:
1987:
1984:
1982:
1979:
1978:
1977:
1974:
1970:
1967:
1965:
1962:
1961:
1960:
1957:
1953:
1950:
1949:
1948:
1945:
1941:
1938:
1937:
1936:
1933:
1931:
1928:
1926:
1923:
1921:
1918:
1917:
1915:
1913:
1909:
1905:
1901:
1896:
1892:
1878:
1875:
1873:
1870:
1868:
1865:
1863:
1860:
1859:
1857:
1855:
1851:
1845:
1842:
1840:
1837:
1835:
1832:
1831:
1829:
1825:
1819:
1816:
1814:
1811:
1809:
1806:
1804:
1801:
1799:
1796:
1794:
1791:
1789:
1786:
1785:
1783:
1781:
1777:
1771:
1768:
1766:
1765:Questionnaire
1763:
1761:
1758:
1754:
1751:
1749:
1746:
1745:
1744:
1741:
1740:
1738:
1736:
1732:
1726:
1723:
1721:
1718:
1716:
1713:
1711:
1708:
1706:
1703:
1701:
1698:
1696:
1693:
1691:
1688:
1687:
1685:
1683:
1679:
1675:
1671:
1666:
1662:
1648:
1645:
1643:
1640:
1638:
1635:
1633:
1630:
1628:
1625:
1623:
1620:
1618:
1615:
1613:
1610:
1608:
1605:
1603:
1600:
1598:
1595:
1593:
1592:Control chart
1590:
1588:
1585:
1583:
1580:
1578:
1575:
1574:
1572:
1570:
1566:
1560:
1557:
1553:
1550:
1548:
1545:
1544:
1543:
1540:
1538:
1535:
1533:
1530:
1529:
1527:
1525:
1521:
1515:
1512:
1510:
1507:
1505:
1502:
1501:
1499:
1495:
1489:
1486:
1485:
1483:
1481:
1477:
1465:
1462:
1460:
1457:
1455:
1452:
1451:
1450:
1447:
1445:
1442:
1441:
1439:
1437:
1433:
1427:
1424:
1422:
1419:
1417:
1414:
1412:
1409:
1407:
1404:
1402:
1399:
1397:
1394:
1393:
1391:
1389:
1385:
1379:
1376:
1374:
1371:
1367:
1364:
1362:
1359:
1357:
1354:
1352:
1349:
1347:
1344:
1342:
1339:
1337:
1334:
1332:
1329:
1327:
1324:
1322:
1319:
1318:
1317:
1314:
1313:
1311:
1309:
1305:
1302:
1300:
1296:
1292:
1288:
1283:
1279:
1273:
1270:
1268:
1265:
1264:
1261:
1257:
1250:
1245:
1243:
1238:
1236:
1231:
1230:
1227:
1221:
1218:
1216:
1213:
1211:
1208:
1206:
1203:
1201:
1198:
1197:
1193:
1184:
1177:
1170:
1167:
1162:
1158:
1154:
1147:
1144:
1139:
1137:9780787640255
1133:
1129:
1123:
1120:
1116:
1115:0-7862-8517-6
1112:
1106:
1103:
1092:
1088:
1082:
1079:
1068:
1064:
1058:
1055:
1044:
1040:
1034:
1032:
1030:
1028:
1024:
1013:
1009:
1003:
1001:
999:
997:
993:
982:
978:
972:
969:
958:
951:
948:
943:
930:
922:
915:
912:
907:
901:
898:
891:
887:
884:
882:
879:
877:
874:
873:
869:
864:
863:impact factor
860:
857:
854:
849:
846:
842:
839:
835:
832:
828:
824:
821:
817:
813:
810:
806:
802:
798:
794:
790:
785:
781:
778:
775:
771:
767:
766:capital notes
763:
759:
755:
751:
747:
744:
743:
736:
733:
725:
715:
711:
707:
701:
700:
696:
691:This section
689:
685:
680:
679:
673:
671:
669:
660:
658:
648:
645:
637:
627:
623:
619:
613:
612:
608:
603:This section
601:
597:
592:
591:
585:
583:
579:
577:
573:
572:
567:
566:
561:
560:
555:
550:
539:
536:
528:
517:
514:
510:
507:
503:
500:
496:
493:
489:
486: â
485:
481:
480:Find sources:
474:
470:
464:
463:
458:This section
456:
452:
447:
446:
440:
435:
434:sports league
431:
427:
421:
417:
413:
409:
408:Green Monster
404:
397:
388:
383:
379:
376:
373:
371:
367:
363:
359:
355:
347:
338:
336:
333:
330:
327:
324:
321:
317:
315:
310:
302:
300:
297:
294:
292:
288:
283:
276:
274:
271:
267:
260:
258:
255:
251:
248:
240:
238:
236:
232:
227:
223:
216:
214:
210:
208:
200:
198:
196:
191:
189:
185:
180:
178:
174:
170:
166:
162:
158:
147:
144:
136:
125:
122:
118:
115:
111:
108:
104:
101:
97:
94: â
93:
89:
88:Find sources:
82:
78:
72:
71:
66:This article
64:
60:
55:
54:
49:
45:
41:
37:
33:
19:
3537:
3525:
3506:
3499:
3411:Econometrics
3361: /
3344:Chemometrics
3321:Epidemiology
3314: /
3287:Applications
3129:ARIMA model
3076:Q-statistic
3025:Stationarity
2921:Multivariate
2864: /
2860: /
2858:Multivariate
2856: /
2796: /
2792: /
2566:Bayes factor
2465:Signed rank
2377:
2351:
2343:
2331:
2026:Completeness
1862:Cohort study
1760:Opinion poll
1695:Missing data
1682:Study design
1637:Scatter plot
1559:Scatter plot
1552:Spearman's Ï
1514:Grouped data
1185:(133): 3â29.
1182:
1169:
1160:
1156:
1146:
1127:
1122:
1105:
1095:, retrieved
1093:, 2024-06-05
1090:
1081:
1070:. Retrieved
1066:
1057:
1046:. Retrieved
1042:
1015:. Retrieved
1011:
984:. Retrieved
980:
971:
960:. Retrieved
950:
929:cite journal
914:
900:
876:Ordinal data
852:
827:video gaming
728:
719:
704:Please help
692:
664:
661:Applications
655:
640:
631:
616:Please help
604:
580:
575:
569:
563:
557:
546:
531:
522:
512:
505:
498:
491:
479:
467:Please help
462:verification
459:
377:
374:
351:
334:
331:
328:
325:
322:
318:
314:Borda counts
306:
298:
295:
290:
286:
284:
280:
272:
268:
264:
256:
252:
246:
244:
228:
224:
220:
211:
204:
192:
181:
156:
154:
139:
130:
120:
113:
106:
99:
87:
75:Please help
70:verification
67:
3539:WikiProject
3454:Cartography
3416:Jurimetrics
3368:Reliability
3099:Time domain
3078:(LjungâBox)
3000:Time-series
2878:Categorical
2862:Time-series
2854:Categorical
2789:(Bernoulli)
2624:Correlation
2604:Correlation
2400:JarqueâBera
2372:Chi-squared
2134:M-estimator
2087:Asymptotics
2031:Sufficiency
1798:Interaction
1710:Replication
1690:Effect size
1647:Violin plot
1627:Radar chart
1607:Forest plot
1597:Correlogram
1547:Kendall's Ï
1163:(1): 79â86.
1012:www.ibm.com
816:webometrics
809:anchor text
770:senior debt
412:Fenway Park
173:total order
165:mathematics
3561:Categories
3406:Demography
3124:ARMA model
2929:Regression
2506:(Friedman)
2467:(Wilcoxon)
2405:Normality
2395:Lilliefors
2342:Student's
2218:Resampling
2092:Robustness
2080:divergence
2070:Efficiency
2008:(monotone)
2003:Likelihood
1920:Population
1753:Stratified
1705:Population
1524:Dependence
1480:Count data
1411:Percentile
1388:Dispersion
1321:Arithmetic
1256:Statistics
1097:2024-06-15
1072:2023-07-23
1048:2023-07-23
1017:2023-07-23
986:2023-07-23
962:2017-03-04
892:References
845:bibliogram
807:or in any
801:heuristics
668:World Bank
495:newspapers
354:statistics
339:Statistics
103:newspapers
2787:Logistic
2554:posterior
2480:Rank sum
2228:Jackknife
2223:Bootstrap
2041:Bootstrap
1976:Parameter
1925:Statistic
1720:Statistic
1632:Run chart
1617:Pie chart
1612:Histogram
1602:Fan chart
1577:Bar chart
1459:L-moments
1346:Geometric
838:TrueSkill
797:TrustRank
784:relevance
758:seniority
693:does not
634:June 2023
605:does not
571:The Times
525:June 2023
484:"Ranking"
441:Education
430:standings
366:numerical
364:in which
188:relevance
133:June 2023
92:"Ranking"
18:Standings
3572:Rankings
3501:Category
3194:Survival
3071:Johansen
2794:Binomial
2749:Isotonic
2336:(normal)
1981:location
1788:Blocking
1743:Sampling
1622:QâQ plot
1587:Box plot
1569:Graphics
1464:Skewness
1454:Kurtosis
1426:Variance
1356:Heronian
1351:Harmonic
870:See also
793:PageRank
586:Business
582:attend.
231:IBM SPSS
177:hardness
3527:Commons
3474:Kriging
3359:Process
3316:studies
3175:Wavelet
3008:General
2175:Plug-in
1969:L space
1748:Cluster
1449:Moments
1267:Outline
831:rank up
754:wind up
714:removed
699:sources
626:removed
611:sources
509:scholar
370:ordinal
360:is the
358:ranking
157:ranking
117:scholar
3396:Census
2986:Normal
2934:Manova
2754:Robust
2504:2-way
2496:1-way
2334:-test
2005:
1582:Biplot
1373:Median
1366:Lehmer
1308:Center
1134:
1113:
750:credit
568:, and
511:
504:
497:
490:
482:
426:sports
389:Sports
287:either
247:before
119:
112:
105:
98:
90:
46:, and
3020:Trend
2549:prior
2491:anova
2380:-test
2354:-test
2346:-test
2253:Power
2198:Pivot
1991:shape
1986:scale
1436:Shape
1416:Range
1361:Heinz
1336:Cubic
1272:Index
1179:(PDF)
516:JSTOR
502:books
124:JSTOR
110:books
3253:Test
2453:Sign
2305:Wald
1378:Mode
1316:Mean
1132:ISBN
1111:ISBN
942:help
836:The
795:and
697:any
695:cite
609:any
607:cite
488:news
309:mean
161:list
96:news
2433:BIC
2428:AIC
825:In
814:In
805:URL
708:by
620:by
578:.
471:by
424:In
410:at
368:or
352:In
79:by
3563::
1181:.
1161:68
1159:.
1155:.
1089:,
1065:.
1041:.
1026:^
1010:.
995:^
979:.
933::
931:}}
927:{{
853:it
843:A
791:,
562:,
428:,
356:,
291:or
197:.
155:A
42:,
38:,
34:,
2378:G
2352:F
2344:t
2332:Z
2051:V
2046:U
1248:e
1241:t
1234:v
1140:.
1117:)
1075:.
1051:.
1020:.
989:.
965:.
944:)
940:(
923:.
908:.
822:.
735:)
729:(
724:)
720:(
716:.
702:.
666:(
647:)
641:(
636:)
632:(
628:.
614:.
538:)
532:(
527:)
523:(
513:·
506:·
499:·
492:·
465:.
398:.
348:.
146:)
140:(
135:)
131:(
121:·
114:·
107:·
100:·
73:.
50:.
20:)
Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
