2688:
65:
2674:
2712:
2700:
61:
of a distribution rather than simply shifting it (as a location parameter does) or stretching/shrinking it (as a scale parameter does). For example, "peakedness" refers to how round the main peak is.
325:
241:
have a shape parameter, so their shape is fixed and only their location or their scale or both can change. It follows that (where they exist) the
1809:
2314:
92:
measure location or scale; however, estimators for shape parameters also exist. Most simply, they can be estimated in terms of the higher
2464:
2088:
729:
1862:
2301:
176:
724:
424:
1328:
476:
2111:
2003:
354:
2716:
2289:
2163:
2738:
2347:
2008:
1753:
1124:
714:
278:
249:
of these distribution are constants, as skewness and kurtosis are independent of location and scale parameters.
2398:
1610:
1417:
1306:
1264:
283:
161:
97:
1338:
2641:
1600:
503:
196:
116:(non-linear functions of the data), as in the higher moments, but linear estimators also exist, such as the
2192:
2141:
2126:
2116:
1985:
1857:
1824:
1650:
1605:
1435:
68:
2704:
2536:
2337:
2261:
1562:
1316:
985:
449:
2421:
2393:
2388:
2136:
1895:
1801:
1781:
1689:
1400:
1218:
701:
573:
273:
191:
2153:
1921:
1642:
1567:
1496:
1425:
1345:
1333:
1203:
1191:
1184:
892:
613:
226:
181:
2636:
2403:
2266:
1951:
1916:
1880:
1665:
1107:
1016:
975:
887:
578:
417:
253:
211:
40:
2545:
2158:
2098:
2035:
1673:
1657:
1395:
1257:
1247:
1097:
1011:
156:
113:
166:
2583:
2513:
2306:
2243:
1998:
1885:
882:
779:
686:
565:
464:
221:
216:
112:(4th moment), if the higher moments are defined and finite. Estimators of shape often involve
2608:
2550:
2493:
2319:
2212:
2121:
1847:
1731:
1590:
1582:
1472:
1464:
1279:
1175:
1153:
1112:
1077:
1044:
990:
965:
920:
859:
819:
621:
444:
263:
2531:
2106:
2055:
2031:
1993:
1911:
1890:
1842:
1721:
1699:
1668:
1577:
1454:
1405:
1323:
1296:
1252:
1208:
970:
746:
626:
231:
206:
93:
8:
2678:
2603:
2526:
2207:
1971:
1964:
1926:
1834:
1814:
1786:
1519:
1385:
1380:
1370:
1362:
1180:
1141:
1031:
1021:
930:
709:
665:
583:
508:
410:
326:"On the Moments, Cumulants, and Characteristic Function of the Log-Logistic Distribution"
268:
258:
201:
151:
36:
2692:
2503:
2357:
2253:
2202:
2078:
1975:
1959:
1936:
1713:
1447:
1430:
1390:
1301:
1196:
1158:
1129:
1089:
1049:
995:
912:
598:
593:
305:
186:
171:
146:
121:
44:
20:
2687:
2598:
2568:
2560:
2380:
2371:
2296:
2227:
2083:
2068:
2043:
1931:
1872:
1738:
1726:
1352:
1269:
1213:
1136:
980:
902:
681:
555:
389:
350:
141:
136:
2623:
2578:
2342:
2329:
2222:
2197:
2131:
2063:
1941:
1549:
1442:
1375:
1288:
1235:
1054:
925:
719:
603:
518:
485:
379:
57:
2540:
2284:
2146:
2073:
1748:
1622:
1595:
1572:
1541:
1163:
1117:
847:
498:
48:
2030:
2489:
2484:
947:
877:
523:
72:
52:
16:
Kind of numerical parameter of a parametric family of probability distributions
384:
367:
2732:
2646:
2613:
2476:
2437:
2248:
2217:
1681:
1635:
1240:
942:
769:
533:
528:
393:
2588:
2521:
2498:
2413:
1743:
1039:
937:
872:
814:
799:
736:
691:
132:
The following continuous probability distributions have a shape parameter:
349:
Everitt B.S. (2002) Cambridge
Dictionary of Statistics. 2nd Edition. CUP.
64:
2631:
2593:
2276:
2177:
2039:
1852:
1819:
1311:
1228:
1223:
867:
824:
804:
784:
774:
543:
1477:
957:
657:
588:
538:
513:
433:
89:
24:
1630:
1482:
1102:
897:
809:
794:
789:
754:
1146:
764:
641:
636:
631:
300:
295:
246:
242:
117:
108:
102:
76:
2651:
2352:
2573:
1554:
1528:
1508:
759:
550:
402:
493:
324:
Ekawati, Dian; Warsono; Kurniasari, Dian (December 2014).
323:
237:
By contrast, the following continuous distributions do
359:
2315:
Autoregressive conditional heteroskedasticity (ARCH)
1777:
378:(1). Institute of Mathematical Statistics: 76â81.
2730:
368:"On Random Variables with Comparable Peakedness"
1863:Multivariate adaptive regression splines (MARS)
418:
463:
425:
411:
1076:
383:
365:
63:
2731:
2389:KaplanâMeier estimator (product limit)
333:The Journal for Technology and Science
177:Generalized extreme value distribution
2462:
2029:
1776:
1075:
845:
462:
406:
372:The Annals of Mathematical Statistics
2699:
2399:Accelerated failure time (AFT) model
55:). Such a parameter must affect the
51:(nor a function of these, such as a
2711:
1994:Analysis of variance (ANOVA, anova)
846:
13:
2089:CochranâMantelâHaenszel statistics
715:Pearson product-moment correlation
14:
2750:
2710:
2698:
2686:
2673:
2672:
2463:
71:for selected distributions with
2348:Least-squares spectral analysis
1329:Mean-unbiased minimum-variance
432:
343:
317:
284:Wigner semicircle distribution
162:Exponential power distribution
1:
2642:Geographic information system
1858:Simultaneous equations models
311:
197:Inverse Gaussian distribution
124:estimation can also be used.
83:
69:Probability density functions
1825:Coefficient of determination
1436:Uniformly most powerful test
7:
2394:Proportional hazards models
2338:Spectral density estimation
2320:Vector autoregression (VAR)
1754:Maximum posterior estimator
986:Randomized controlled trial
289:
127:
10:
2755:
2154:Multivariate distributions
574:Average absolute deviation
274:Raised cosine distribution
192:Inverse-gamma distribution
39:of a parametric family of
2668:
2622:
2559:
2512:
2475:
2471:
2458:
2430:
2412:
2379:
2370:
2328:
2275:
2236:
2185:
2176:
2142:Structural equation model
2097:
2054:
2050:
2025:
1984:
1950:
1904:
1871:
1833:
1800:
1796:
1772:
1712:
1621:
1540:
1504:
1495:
1478:Score/Lagrange multiplier
1463:
1416:
1361:
1287:
1278:
1088:
1084:
1071:
1030:
1004:
956:
911:
893:Sample size determination
858:
854:
841:
745:
700:
674:
656:
612:
564:
484:
475:
471:
458:
440:
227:Tukey lambda distribution
182:Log-logistic distribution
41:probability distributions
2637:Environmental statistics
2159:Elliptical distributions
1952:Generalized linear model
1881:Simple linear regression
1651:HodgesâLehmann estimator
1108:Probability distribution
1017:Stochastic approximation
579:Coefficient of variation
366:Birnbaum, Z. W. (1948).
254:Exponential distribution
222:Student's t-distribution
212:Skew normal distribution
2297:Cross-correlation (XCF)
1905:Non-standard predictors
1339:LehmannâScheffĂ© theorem
1012:Adaptive clinical trial
385:10.1214/aoms/1177730293
157:ExGaussian distribution
114:higher-order statistics
2739:Statistical parameters
2693:Mathematics portal
2514:Engineering statistics
2422:NelsonâAalen estimator
1999:Analysis of covariance
1886:Ordinary least squares
1810:Pearson product-moment
1214:Statistical functional
1125:Empirical distribution
958:Controlled experiments
687:Frequency distribution
465:Descriptive statistics
217:Lognormal distribution
80:
2609:Population statistics
2551:System identification
2285:Autocorrelation (ACF)
2213:Exponential smoothing
2127:Discriminant analysis
2122:Canonical correlation
1986:Partition of variance
1848:Regression validation
1692:(JonckheereâTerpstra)
1591:Likelihood-ratio test
1280:Frequentist inference
1192:Locationâscale family
1113:Sampling distribution
1078:Statistical inference
1045:Cross-sectional study
1032:Observational studies
991:Randomized experiment
820:Stem-and-leaf display
622:Central limit theorem
264:Logistic distribution
67:
2532:Probabilistic design
2117:Principal components
1960:Exponential families
1912:Nonlinear regression
1891:General linear model
1853:Mixed effects models
1843:Errors and residuals
1820:Confounding variable
1722:Bayesian probability
1700:Van der Waerden test
1690:Ordered alternative
1455:Multiple comparisons
1334:RaoâBlackwellization
1297:Estimating equations
1253:Statistical distance
971:Factorial experiment
504:Arithmetic-Geometric
279:Uniform distribution
232:Weibull distribution
207:Pearson distribution
167:Fréchet distribution
2604:Official statistics
2527:Methods engineering
2208:Seasonal adjustment
1976:Poisson regressions
1896:Bayesian regression
1835:Regression analysis
1815:Partial correlation
1787:Regression analysis
1386:Prediction interval
1381:Likelihood interval
1371:Confidence interval
1363:Interval estimation
1324:Unbiased estimators
1142:Model specification
1022:Up-and-down designs
710:Partial correlation
666:Index of dispersion
584:Interquartile range
269:Normal distribution
259:Cauchy distribution
202:Pareto distribution
152:Erlang distribution
37:numerical parameter
2624:Spatial statistics
2504:Medical statistics
2404:First hitting time
2358:Whittle likelihood
2009:Degrees of freedom
2004:Multivariate ANOVA
1937:Heteroscedasticity
1749:Bayesian estimator
1714:Bayesian inference
1563:KolmogorovâSmirnov
1448:Randomization test
1418:Testing hypotheses
1391:Tolerance interval
1302:Maximum likelihood
1197:Exponential family
1130:Density estimation
1090:Statistical theory
1050:Natural experiment
996:Scientific control
913:Survey methodology
599:Standard deviation
306:Location parameter
187:Log-t distribution
172:Gamma distribution
147:Dagum distribution
122:Maximum likelihood
81:
45:location parameter
43:that is neither a
21:probability theory
2726:
2725:
2664:
2663:
2660:
2659:
2599:National accounts
2569:Actuarial science
2561:Social statistics
2454:
2453:
2450:
2449:
2446:
2445:
2381:Survival function
2366:
2365:
2228:Granger causality
2069:Contingency table
2044:Survival analysis
2021:
2020:
2017:
2016:
1873:Linear regression
1768:
1767:
1764:
1763:
1739:Credible interval
1708:
1707:
1491:
1490:
1307:Method of moments
1176:Parametric family
1137:Statistical model
1067:
1066:
1063:
1062:
981:Random assignment
903:Statistical power
837:
836:
833:
832:
682:Contingency table
652:
651:
519:Generalized/power
142:Burr distribution
137:Beta distribution
98:method of moments
2746:
2714:
2713:
2702:
2701:
2691:
2690:
2676:
2675:
2579:Crime statistics
2473:
2472:
2460:
2459:
2377:
2376:
2343:Fourier analysis
2330:Frequency domain
2310:
2257:
2223:Structural break
2183:
2182:
2132:Cluster analysis
2079:Log-linear model
2052:
2051:
2027:
2026:
1968:
1942:Homoscedasticity
1798:
1797:
1774:
1773:
1693:
1685:
1677:
1676:(KruskalâWallis)
1661:
1646:
1601:Cross validation
1586:
1568:AndersonâDarling
1515:
1502:
1501:
1473:Likelihood-ratio
1465:Parametric tests
1443:Permutation test
1426:1- & 2-tails
1317:Minimum distance
1289:Point estimation
1285:
1284:
1236:Optimal decision
1187:
1086:
1085:
1073:
1072:
1055:Quasi-experiment
1005:Adaptive designs
856:
855:
843:
842:
720:Rank correlation
482:
481:
473:
472:
460:
459:
427:
420:
413:
404:
403:
398:
397:
387:
363:
357:
347:
341:
340:
330:
321:
106:(3rd moment) or
2754:
2753:
2749:
2748:
2747:
2745:
2744:
2743:
2729:
2728:
2727:
2722:
2685:
2656:
2618:
2555:
2541:quality control
2508:
2490:Clinical trials
2467:
2442:
2426:
2414:Hazard function
2408:
2362:
2324:
2308:
2271:
2267:BreuschâGodfrey
2255:
2232:
2172:
2147:Factor analysis
2093:
2074:Graphical model
2046:
2013:
1980:
1966:
1946:
1900:
1867:
1829:
1792:
1791:
1760:
1704:
1691:
1683:
1675:
1659:
1644:
1623:Rank statistics
1617:
1596:Model selection
1584:
1542:Goodness of fit
1536:
1513:
1487:
1459:
1412:
1357:
1346:Median unbiased
1274:
1185:
1118:Order statistic
1080:
1059:
1026:
1000:
952:
907:
850:
848:Data collection
829:
741:
696:
670:
648:
608:
560:
477:Continuous data
467:
454:
436:
431:
401:
364:
360:
348:
344:
328:
322:
318:
314:
292:
130:
86:
49:scale parameter
35:) is a kind of
31:(also known as
29:shape parameter
17:
12:
11:
5:
2752:
2742:
2741:
2724:
2723:
2721:
2720:
2708:
2696:
2682:
2669:
2666:
2665:
2662:
2661:
2658:
2657:
2655:
2654:
2649:
2644:
2639:
2634:
2628:
2626:
2620:
2619:
2617:
2616:
2611:
2606:
2601:
2596:
2591:
2586:
2581:
2576:
2571:
2565:
2563:
2557:
2556:
2554:
2553:
2548:
2543:
2534:
2529:
2524:
2518:
2516:
2510:
2509:
2507:
2506:
2501:
2496:
2487:
2485:Bioinformatics
2481:
2479:
2469:
2468:
2456:
2455:
2452:
2451:
2448:
2447:
2444:
2443:
2441:
2440:
2434:
2432:
2428:
2427:
2425:
2424:
2418:
2416:
2410:
2409:
2407:
2406:
2401:
2396:
2391:
2385:
2383:
2374:
2368:
2367:
2364:
2363:
2361:
2360:
2355:
2350:
2345:
2340:
2334:
2332:
2326:
2325:
2323:
2322:
2317:
2312:
2304:
2299:
2294:
2293:
2292:
2290:partial (PACF)
2281:
2279:
2273:
2272:
2270:
2269:
2264:
2259:
2251:
2246:
2240:
2238:
2237:Specific tests
2234:
2233:
2231:
2230:
2225:
2220:
2215:
2210:
2205:
2200:
2195:
2189:
2187:
2180:
2174:
2173:
2171:
2170:
2169:
2168:
2167:
2166:
2151:
2150:
2149:
2139:
2137:Classification
2134:
2129:
2124:
2119:
2114:
2109:
2103:
2101:
2095:
2094:
2092:
2091:
2086:
2084:McNemar's test
2081:
2076:
2071:
2066:
2060:
2058:
2048:
2047:
2023:
2022:
2019:
2018:
2015:
2014:
2012:
2011:
2006:
2001:
1996:
1990:
1988:
1982:
1981:
1979:
1978:
1962:
1956:
1954:
1948:
1947:
1945:
1944:
1939:
1934:
1929:
1924:
1922:Semiparametric
1919:
1914:
1908:
1906:
1902:
1901:
1899:
1898:
1893:
1888:
1883:
1877:
1875:
1869:
1868:
1866:
1865:
1860:
1855:
1850:
1845:
1839:
1837:
1831:
1830:
1828:
1827:
1822:
1817:
1812:
1806:
1804:
1794:
1793:
1790:
1789:
1784:
1778:
1770:
1769:
1766:
1765:
1762:
1761:
1759:
1758:
1757:
1756:
1746:
1741:
1736:
1735:
1734:
1729:
1718:
1716:
1710:
1709:
1706:
1705:
1703:
1702:
1697:
1696:
1695:
1687:
1679:
1663:
1660:(MannâWhitney)
1655:
1654:
1653:
1640:
1639:
1638:
1627:
1625:
1619:
1618:
1616:
1615:
1614:
1613:
1608:
1603:
1593:
1588:
1585:(ShapiroâWilk)
1580:
1575:
1570:
1565:
1560:
1552:
1546:
1544:
1538:
1537:
1535:
1534:
1526:
1517:
1505:
1499:
1497:Specific tests
1493:
1492:
1489:
1488:
1486:
1485:
1480:
1475:
1469:
1467:
1461:
1460:
1458:
1457:
1452:
1451:
1450:
1440:
1439:
1438:
1428:
1422:
1420:
1414:
1413:
1411:
1410:
1409:
1408:
1403:
1393:
1388:
1383:
1378:
1373:
1367:
1365:
1359:
1358:
1356:
1355:
1350:
1349:
1348:
1343:
1342:
1341:
1336:
1321:
1320:
1319:
1314:
1309:
1304:
1293:
1291:
1282:
1276:
1275:
1273:
1272:
1267:
1262:
1261:
1260:
1250:
1245:
1244:
1243:
1233:
1232:
1231:
1226:
1221:
1211:
1206:
1201:
1200:
1199:
1194:
1189:
1173:
1172:
1171:
1166:
1161:
1151:
1150:
1149:
1144:
1134:
1133:
1132:
1122:
1121:
1120:
1110:
1105:
1100:
1094:
1092:
1082:
1081:
1069:
1068:
1065:
1064:
1061:
1060:
1058:
1057:
1052:
1047:
1042:
1036:
1034:
1028:
1027:
1025:
1024:
1019:
1014:
1008:
1006:
1002:
1001:
999:
998:
993:
988:
983:
978:
973:
968:
962:
960:
954:
953:
951:
950:
948:Standard error
945:
940:
935:
934:
933:
928:
917:
915:
909:
908:
906:
905:
900:
895:
890:
885:
880:
878:Optimal design
875:
870:
864:
862:
852:
851:
839:
838:
835:
834:
831:
830:
828:
827:
822:
817:
812:
807:
802:
797:
792:
787:
782:
777:
772:
767:
762:
757:
751:
749:
743:
742:
740:
739:
734:
733:
732:
727:
717:
712:
706:
704:
698:
697:
695:
694:
689:
684:
678:
676:
675:Summary tables
672:
671:
669:
668:
662:
660:
654:
653:
650:
649:
647:
646:
645:
644:
639:
634:
624:
618:
616:
610:
609:
607:
606:
601:
596:
591:
586:
581:
576:
570:
568:
562:
561:
559:
558:
553:
548:
547:
546:
541:
536:
531:
526:
521:
516:
511:
509:Contraharmonic
506:
501:
490:
488:
479:
469:
468:
456:
455:
453:
452:
447:
441:
438:
437:
430:
429:
422:
415:
407:
400:
399:
358:
342:
315:
313:
310:
309:
308:
303:
298:
291:
288:
287:
286:
281:
276:
271:
266:
261:
256:
235:
234:
229:
224:
219:
214:
209:
204:
199:
194:
189:
184:
179:
174:
169:
164:
159:
154:
149:
144:
139:
129:
126:
85:
82:
53:rate parameter
33:form parameter
15:
9:
6:
4:
3:
2:
2751:
2740:
2737:
2736:
2734:
2719:
2718:
2709:
2707:
2706:
2697:
2695:
2694:
2689:
2683:
2681:
2680:
2671:
2670:
2667:
2653:
2650:
2648:
2647:Geostatistics
2645:
2643:
2640:
2638:
2635:
2633:
2630:
2629:
2627:
2625:
2621:
2615:
2614:Psychometrics
2612:
2610:
2607:
2605:
2602:
2600:
2597:
2595:
2592:
2590:
2587:
2585:
2582:
2580:
2577:
2575:
2572:
2570:
2567:
2566:
2564:
2562:
2558:
2552:
2549:
2547:
2544:
2542:
2538:
2535:
2533:
2530:
2528:
2525:
2523:
2520:
2519:
2517:
2515:
2511:
2505:
2502:
2500:
2497:
2495:
2491:
2488:
2486:
2483:
2482:
2480:
2478:
2477:Biostatistics
2474:
2470:
2466:
2461:
2457:
2439:
2438:Log-rank test
2436:
2435:
2433:
2429:
2423:
2420:
2419:
2417:
2415:
2411:
2405:
2402:
2400:
2397:
2395:
2392:
2390:
2387:
2386:
2384:
2382:
2378:
2375:
2373:
2369:
2359:
2356:
2354:
2351:
2349:
2346:
2344:
2341:
2339:
2336:
2335:
2333:
2331:
2327:
2321:
2318:
2316:
2313:
2311:
2309:(BoxâJenkins)
2305:
2303:
2300:
2298:
2295:
2291:
2288:
2287:
2286:
2283:
2282:
2280:
2278:
2274:
2268:
2265:
2263:
2262:DurbinâWatson
2260:
2258:
2252:
2250:
2247:
2245:
2244:DickeyâFuller
2242:
2241:
2239:
2235:
2229:
2226:
2224:
2221:
2219:
2218:Cointegration
2216:
2214:
2211:
2209:
2206:
2204:
2201:
2199:
2196:
2194:
2193:Decomposition
2191:
2190:
2188:
2184:
2181:
2179:
2175:
2165:
2162:
2161:
2160:
2157:
2156:
2155:
2152:
2148:
2145:
2144:
2143:
2140:
2138:
2135:
2133:
2130:
2128:
2125:
2123:
2120:
2118:
2115:
2113:
2110:
2108:
2105:
2104:
2102:
2100:
2096:
2090:
2087:
2085:
2082:
2080:
2077:
2075:
2072:
2070:
2067:
2065:
2064:Cohen's kappa
2062:
2061:
2059:
2057:
2053:
2049:
2045:
2041:
2037:
2033:
2028:
2024:
2010:
2007:
2005:
2002:
2000:
1997:
1995:
1992:
1991:
1989:
1987:
1983:
1977:
1973:
1969:
1963:
1961:
1958:
1957:
1955:
1953:
1949:
1943:
1940:
1938:
1935:
1933:
1930:
1928:
1925:
1923:
1920:
1918:
1917:Nonparametric
1915:
1913:
1910:
1909:
1907:
1903:
1897:
1894:
1892:
1889:
1887:
1884:
1882:
1879:
1878:
1876:
1874:
1870:
1864:
1861:
1859:
1856:
1854:
1851:
1849:
1846:
1844:
1841:
1840:
1838:
1836:
1832:
1826:
1823:
1821:
1818:
1816:
1813:
1811:
1808:
1807:
1805:
1803:
1799:
1795:
1788:
1785:
1783:
1780:
1779:
1775:
1771:
1755:
1752:
1751:
1750:
1747:
1745:
1742:
1740:
1737:
1733:
1730:
1728:
1725:
1724:
1723:
1720:
1719:
1717:
1715:
1711:
1701:
1698:
1694:
1688:
1686:
1680:
1678:
1672:
1671:
1670:
1667:
1666:Nonparametric
1664:
1662:
1656:
1652:
1649:
1648:
1647:
1641:
1637:
1636:Sample median
1634:
1633:
1632:
1629:
1628:
1626:
1624:
1620:
1612:
1609:
1607:
1604:
1602:
1599:
1598:
1597:
1594:
1592:
1589:
1587:
1581:
1579:
1576:
1574:
1571:
1569:
1566:
1564:
1561:
1559:
1557:
1553:
1551:
1548:
1547:
1545:
1543:
1539:
1533:
1531:
1527:
1525:
1523:
1518:
1516:
1511:
1507:
1506:
1503:
1500:
1498:
1494:
1484:
1481:
1479:
1476:
1474:
1471:
1470:
1468:
1466:
1462:
1456:
1453:
1449:
1446:
1445:
1444:
1441:
1437:
1434:
1433:
1432:
1429:
1427:
1424:
1423:
1421:
1419:
1415:
1407:
1404:
1402:
1399:
1398:
1397:
1394:
1392:
1389:
1387:
1384:
1382:
1379:
1377:
1374:
1372:
1369:
1368:
1366:
1364:
1360:
1354:
1351:
1347:
1344:
1340:
1337:
1335:
1332:
1331:
1330:
1327:
1326:
1325:
1322:
1318:
1315:
1313:
1310:
1308:
1305:
1303:
1300:
1299:
1298:
1295:
1294:
1292:
1290:
1286:
1283:
1281:
1277:
1271:
1268:
1266:
1263:
1259:
1256:
1255:
1254:
1251:
1249:
1246:
1242:
1241:loss function
1239:
1238:
1237:
1234:
1230:
1227:
1225:
1222:
1220:
1217:
1216:
1215:
1212:
1210:
1207:
1205:
1202:
1198:
1195:
1193:
1190:
1188:
1182:
1179:
1178:
1177:
1174:
1170:
1167:
1165:
1162:
1160:
1157:
1156:
1155:
1152:
1148:
1145:
1143:
1140:
1139:
1138:
1135:
1131:
1128:
1127:
1126:
1123:
1119:
1116:
1115:
1114:
1111:
1109:
1106:
1104:
1101:
1099:
1096:
1095:
1093:
1091:
1087:
1083:
1079:
1074:
1070:
1056:
1053:
1051:
1048:
1046:
1043:
1041:
1038:
1037:
1035:
1033:
1029:
1023:
1020:
1018:
1015:
1013:
1010:
1009:
1007:
1003:
997:
994:
992:
989:
987:
984:
982:
979:
977:
974:
972:
969:
967:
964:
963:
961:
959:
955:
949:
946:
944:
943:Questionnaire
941:
939:
936:
932:
929:
927:
924:
923:
922:
919:
918:
916:
914:
910:
904:
901:
899:
896:
894:
891:
889:
886:
884:
881:
879:
876:
874:
871:
869:
866:
865:
863:
861:
857:
853:
849:
844:
840:
826:
823:
821:
818:
816:
813:
811:
808:
806:
803:
801:
798:
796:
793:
791:
788:
786:
783:
781:
778:
776:
773:
771:
770:Control chart
768:
766:
763:
761:
758:
756:
753:
752:
750:
748:
744:
738:
735:
731:
728:
726:
723:
722:
721:
718:
716:
713:
711:
708:
707:
705:
703:
699:
693:
690:
688:
685:
683:
680:
679:
677:
673:
667:
664:
663:
661:
659:
655:
643:
640:
638:
635:
633:
630:
629:
628:
625:
623:
620:
619:
617:
615:
611:
605:
602:
600:
597:
595:
592:
590:
587:
585:
582:
580:
577:
575:
572:
571:
569:
567:
563:
557:
554:
552:
549:
545:
542:
540:
537:
535:
532:
530:
527:
525:
522:
520:
517:
515:
512:
510:
507:
505:
502:
500:
497:
496:
495:
492:
491:
489:
487:
483:
480:
478:
474:
470:
466:
461:
457:
451:
448:
446:
443:
442:
439:
435:
428:
423:
421:
416:
414:
409:
408:
405:
395:
391:
386:
381:
377:
373:
369:
362:
356:
355:0-521-81099-X
352:
346:
338:
334:
327:
320:
316:
307:
304:
302:
299:
297:
294:
293:
285:
282:
280:
277:
275:
272:
270:
267:
265:
262:
260:
257:
255:
252:
251:
250:
248:
244:
240:
233:
230:
228:
225:
223:
220:
218:
215:
213:
210:
208:
205:
203:
200:
198:
195:
193:
190:
188:
185:
183:
180:
178:
175:
173:
170:
168:
165:
163:
160:
158:
155:
153:
150:
148:
145:
143:
140:
138:
135:
134:
133:
125:
123:
119:
115:
111:
110:
105:
104:
99:
95:
91:
78:
74:
70:
66:
62:
60:
59:
54:
50:
46:
42:
38:
34:
30:
26:
22:
2715:
2703:
2684:
2677:
2589:Econometrics
2539: /
2522:Chemometrics
2499:Epidemiology
2492: /
2465:Applications
2307:ARIMA model
2254:Q-statistic
2203:Stationarity
2099:Multivariate
2042: /
2038: /
2036:Multivariate
2034: /
1974: /
1970: /
1744:Bayes factor
1643:Signed rank
1555:
1529:
1521:
1509:
1204:Completeness
1168:
1040:Cohort study
938:Opinion poll
873:Missing data
860:Study design
815:Scatter plot
737:Scatter plot
730:Spearman's Ï
692:Grouped data
375:
371:
361:
345:
336:
332:
319:
238:
236:
131:
107:
101:
100:, as in the
96:, using the
87:
56:
32:
28:
18:
2717:WikiProject
2632:Cartography
2594:Jurimetrics
2546:Reliability
2277:Time domain
2256:(LjungâBox)
2178:Time-series
2056:Categorical
2040:Time-series
2032:Categorical
1967:(Bernoulli)
1802:Correlation
1782:Correlation
1578:JarqueâBera
1550:Chi-squared
1312:M-estimator
1265:Asymptotics
1209:Sufficiency
976:Interaction
888:Replication
868:Effect size
825:Violin plot
805:Radar chart
785:Forest plot
775:Correlogram
725:Kendall's Ï
2584:Demography
2302:ARMA model
2107:Regression
1684:(Friedman)
1645:(Wilcoxon)
1583:Normality
1573:Lilliefors
1520:Student's
1396:Resampling
1270:Robustness
1258:divergence
1248:Efficiency
1186:(monotone)
1181:Likelihood
1098:Population
931:Stratified
883:Population
702:Dependence
658:Count data
589:Percentile
566:Dispersion
499:Arithmetic
434:Statistics
312:References
90:estimators
84:Estimation
25:statistics
1965:Logistic
1732:posterior
1658:Rank sum
1406:Jackknife
1401:Bootstrap
1219:Bootstrap
1154:Parameter
1103:Statistic
898:Statistic
810:Run chart
795:Pie chart
790:Histogram
780:Fan chart
755:Bar chart
637:L-moments
524:Geometric
394:0003-4851
118:L-moments
2733:Category
2679:Category
2372:Survival
2249:Johansen
1972:Binomial
1927:Isotonic
1514:(normal)
1159:location
966:Blocking
921:Sampling
800:QâQ plot
765:Box plot
747:Graphics
642:Skewness
632:Kurtosis
604:Variance
534:Heronian
529:Harmonic
301:Kurtosis
296:Skewness
290:See also
247:kurtosis
243:skewness
128:Examples
109:kurtosis
103:skewness
77:variance
2705:Commons
2652:Kriging
2537:Process
2494:studies
2353:Wavelet
2186:General
1353:Plug-in
1147:L space
926:Cluster
627:Moments
445:Outline
94:moments
2574:Census
2164:Normal
2112:Manova
1932:Robust
1682:2-way
1674:1-way
1512:-test
1183:
760:Biplot
551:Median
544:Lehmer
486:Center
392:
353:
75:0 and
47:nor a
2198:Trend
1727:prior
1669:anova
1558:-test
1532:-test
1524:-test
1431:Power
1376:Pivot
1169:shape
1164:scale
614:Shape
594:Range
539:Heinz
514:Cubic
450:Index
329:(PDF)
88:Many
58:shape
2431:Test
1631:Sign
1483:Wald
556:Mode
494:Mean
390:ISSN
351:ISBN
245:and
73:mean
27:, a
23:and
1611:BIC
1606:AIC
380:doi
239:not
19:In
2735::
388:.
376:19
374:.
370:.
337:25
335:.
331:.
120:.
79:1.
1556:G
1530:F
1522:t
1510:Z
1229:V
1224:U
426:e
419:t
412:v
396:.
382::
339:.
Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
