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