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models. They are often used in situations where the fully nonparametric model may not perform well or when the researcher wants to use a parametric model but the functional form with respect to a subset of the regressors or the density of the errors is not known. Semiparametric regression models are
2211:
2775:{\displaystyle Y_{i}=\alpha \left(Z_{i}\right)+X'_{i}\beta \left(Z_{i}\right)+u_{i}=\left(1+X'_{i}\right)\left({\begin{array}{c}\alpha \left(Z_{i}\right)\\\beta \left(Z_{i}\right)\end{array}}\right)+u_{i}=W'_{i}\gamma \left(Z_{i}\right)+u_{i},}
1912:
666:
1689:
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2504:
2431:{\displaystyle L\left(\beta \right)=\sum _{i}\left(1-Y_{i}\right)\ln \left(1-{\hat {g}}_{-i}\left(X'_{i}\beta \right)\right)+\sum _{i}Y_{i}\ln \left({\hat {g}}_{-i}\left(X'_{i}\beta \right)\right),}
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Many different semiparametric regression methods have been proposed and developed. The most popular methods are the partially linear, index and varying coefficient models.
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of unknown form. This type of model was proposed by
Robinson (1988) and extended to handle categorical covariates by Racine and Li (2007).
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and, since semiparametric models contain a parametric component, they rely on parametric assumptions and may be
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The single index model method developed by
Ichimura (1993) is as follows. Consider the situation in which
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Klein, R. W.; R. H. Spady (1993). "An
Efficient Semiparametric Estimator for Binary Response Models".
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Racine, J.S.; Qui, L. (2007). "A Partially Linear Kernel
Estimator for Categorical Data".
8:
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3198:"Semiparametric Least Squares (SLS) and Weighted SLS Estimation of Single Index Models"
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837:. The parametric part of the partially linear model is given by the parameter vector
661:{\displaystyle Y_{i}=X'_{i}\beta +g\left(Z_{i}\right)+u_{i},\,\quad i=1,\ldots ,n,\,}
516:
455:
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See Li and Racine (2007) for an in-depth look at nonparametric regression methods.
1907:{\displaystyle G\left(X'_{i}\beta \right)=E\left(Y_{i}|X'_{i}\beta \right)=E\left}
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1440:. The single index model takes its name from the parametric part of the model
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1684:{\displaystyle \sum _{i=1}\left(Y_{i}-g\left(X'_{i}\beta \right)\right)^{2}.}
303:
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3081:{\displaystyle \gamma \left(Z_{i}\right)=\left(E\left\right)^{-1}E\left.}
2518:
Hastie and
Tibshirani (1993) propose a smooth coefficient model given by
215:
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3827:
3527:
3458:
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3383:
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1057:{\displaystyle E\left(u_{i}^{2}|x,z\right)=\sigma ^{2}\left(x,z\right)}
500:
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Regression models that combine parametric and nonparametric models
5521:
5222:
3260:
Hastie, T.; R. Tibshirani (1993). "Varying-Coefficient Models".
2513:
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single index. The nonparametric part is the unknown function
3197:
2181:, Klein and Spady (1993) propose a technique for estimating
1725:
is not known, we need to estimate it. For a given value for
3363:
2032:{\displaystyle {\hat {G}}_{-i}\left(X'_{i}\beta \right),\,}
2499:{\displaystyle {\hat {g}}_{-i}\left(X'_{i}\beta \right)}
2649:
1228:
using an appropriate nonparametric regression method.
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while the nonparametric part is the unknown function
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677:
561:
5185:
Autoregressive conditional heteroskedasticity (ARCH)
3167:
3259:
1531:is continuous. Given a known form for the function
4647:
3262:Journal of the Royal Statistical Society, Series B
3080:
2914:
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2861:
2830:
2804:
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2205:methods. The log-likelihood function is given by
1296:{\displaystyle Y=g\left(X'\beta _{0}\right)+u,\,}
962:{\displaystyle E\left(u_{i}|X_{i},Z_{i}\right)=0}
5600:
3220:
4733:Multivariate adaptive regression splines (MARS)
3170:Nonparametric Econometrics: Theory and Practice
2869:is a vector of unspecified smooth functions of
830:{\displaystyle Z_{i}\in \operatorname {R} ^{q}}
2098:
3288:
3186:
2514:Smooth coefficient/varying coefficient models
480:
1921:method. Ichimura (1993) proposes estimating
3189:Unpublished Manuscript, Mcmaster University
1201:{\displaystyle Y_{i}-X'_{i}{\hat {\beta }}}
3333:
3295:
3281:
2915:{\displaystyle \gamma \left(\cdot \right)}
2088:{\displaystyle G\left(X'_{i}\beta \right)}
1960:{\displaystyle g\left(X'_{i}\beta \right)}
1373:are defined as earlier and the error term
1067:This method is implemented by obtaining a
543:
487:
473:
3946:
3234:
2028:
1292:
969:and the model allows for a conditionally
657:
631:
69:Learn how and when to remove this message
3195:
3134:
895:. The data is assumed to be i.i.d. with
32:This article includes a list of general
3229:(2). The Econometric Society: 387â421.
3147:(4). The Econometric Society: 931â954.
3139:Consistent Semiparametric Regression".
5601:
5259:KaplanâMeier estimator (product limit)
532:, just like a fully parametric model.
5332:
4899:
4646:
3945:
3715:
3332:
3276:
5569:
5269:Accelerated failure time (AFT) model
2862:{\displaystyle \beta \left(z\right)}
1718:{\displaystyle g\left(\cdot \right)}
1555:{\displaystyle g\left(\cdot \right)}
1506:
1496:{\displaystyle g\left(\cdot \right)}
1236:A single index model takes the form
18:
5581:
4864:Analysis of variance (ANOVA, anova)
3716:
3168:Li, Qi; Racine, Jeffrey S. (2007).
1433:{\displaystyle E\left(u|X\right)=0}
1142:{\displaystyle g\left(Z_{i}\right)}
888:{\displaystyle g\left(Z_{i}\right)}
13:
4959:CochranâMantelâHaenszel statistics
3585:Pearson product-moment correlation
1111:and then deriving an estimator of
818:
38:it lacks sufficient corresponding
14:
5620:
797:vector of unknown parameters and
751:vector of explanatory variables,
5580:
5568:
5556:
5543:
5542:
5333:
1593:method to minimize the function
454:
23:
5218:Least-squares spectral analysis
1231:
632:
402:Least-squares spectral analysis
340:Generalized estimating equation
160:Multinomial logistic regression
135:Vector generalized linear model
4199:Mean-unbiased minimum-variance
3302:
3172:. Princeton University Press.
3115:
3056:
2994:
2455:
2379:
2292:
1984:
1879:
1806:
1412:
1192:
1004:
921:
1:
5512:Geographic information system
4728:Simultaneous equations models
3135:Robinson, P.M. (1988). "Root-
3128:
1694:Since the functional form of
1589:could be estimated using the
221:Nonlinear mixed-effects model
4695:Coefficient of determination
4306:Uniformly most powerful test
3214:10.1016/0304-4076(93)90114-K
1745:an estimate of the function
7:
5264:Proportional hazards models
5208:Spectral density estimation
5190:Vector autoregression (VAR)
4624:Maximum posterior estimator
3856:Randomized controlled trial
3103:Effective degree of freedom
3091:
2099:Klein and Spady's estimator
1084:{\displaystyle {\sqrt {n}}}
698:is the dependent variable,
423:Mean and predicted response
10:
5625:
5024:Multivariate distributions
3444:Average absolute deviation
2103:If the dependent variable
1582:{\displaystyle \beta _{0}}
1366:{\displaystyle \beta _{0}}
535:
216:Linear mixed-effects model
5538:
5492:
5429:
5382:
5345:
5341:
5328:
5300:
5282:
5249:
5240:
5198:
5145:
5106:
5055:
5046:
5012:Structural equation model
4967:
4924:
4920:
4895:
4854:
4820:
4774:
4741:
4703:
4670:
4666:
4642:
4582:
4491:
4410:
4374:
4365:
4348:Score/Lagrange multiplier
4333:
4286:
4231:
4157:
4148:
3958:
3954:
3941:
3900:
3874:
3826:
3781:
3763:Sample size determination
3728:
3724:
3711:
3615:
3570:
3544:
3526:
3482:
3434:
3354:
3345:
3341:
3328:
3310:
2831:{\displaystyle k\times 1}
790:{\displaystyle p\times 1}
744:{\displaystyle p\times 1}
505:semiparametric regression
382:Least absolute deviations
5609:Nonparametric statistics
5507:Environmental statistics
5029:Elliptical distributions
4822:Generalized linear model
4751:Simple linear regression
4521:HodgesâLehmann estimator
3978:Probability distribution
3887:Stochastic approximation
3449:Coefficient of variation
3108:
3098:Nonparametric regression
1461:{\displaystyle x'\beta }
1151:nonparametric regression
1091:consistent estimator of
522:semiparametric modelling
130:Generalized linear model
5167:Cross-correlation (XCF)
4775:Non-standard predictors
4209:LehmannâScheffĂ© theorem
3882:Adaptive clinical trial
3202:Journal of Econometrics
1591:nonlinear least squares
544:Partially linear models
53:more precise citations.
5563:Mathematics portal
5384:Engineering statistics
5292:NelsonâAalen estimator
4869:Analysis of covariance
4756:Ordinary least squares
4680:Pearson product-moment
4084:Statistical functional
3995:Empirical distribution
3828:Controlled experiments
3557:Frequency distribution
3335:Descriptive statistics
3082:
2916:
2883:
2863:
2832:
2806:
2776:
2500:
2432:
2195:
2194:{\displaystyle \beta }
2171:
2144:
2117:
2089:
2033:
1961:
1908:
1739:
1738:{\displaystyle \beta }
1719:
1685:
1583:
1556:
1525:
1497:
1462:
1434:
1387:
1367:
1340:
1320:
1297:
1222:
1202:
1143:
1105:
1104:{\displaystyle \beta }
1085:
1058:
963:
889:
851:
850:{\displaystyle \beta }
831:
791:
765:
764:{\displaystyle \beta }
745:
719:
692:
662:
550:partially linear model
461:Mathematics portal
387:Iteratively reweighted
5479:Population statistics
5421:System identification
5155:Autocorrelation (ACF)
5083:Exponential smoothing
4997:Discriminant analysis
4992:Canonical correlation
4856:Partition of variance
4718:Regression validation
4562:(JonckheereâTerpstra)
4461:Likelihood-ratio test
4150:Frequentist inference
4062:Locationâscale family
3983:Sampling distribution
3948:Statistical inference
3915:Cross-sectional study
3902:Observational studies
3861:Randomized experiment
3690:Stem-and-leaf display
3492:Central limit theorem
3196:Ichimura, H. (1993).
3083:
2917:
2884:
2864:
2833:
2807:
2805:{\displaystyle X_{i}}
2777:
2501:
2433:
2196:
2172:
2170:{\displaystyle u_{i}}
2145:
2143:{\displaystyle X_{i}}
2118:
2090:
2034:
1962:
1909:
1740:
1720:
1686:
1584:
1557:
1526:
1498:
1463:
1435:
1388:
1368:
1341:
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1298:
1223:
1203:
1144:
1106:
1086:
1059:
964:
890:
852:
832:
792:
766:
746:
720:
718:{\displaystyle X_{i}}
693:
691:{\displaystyle Y_{i}}
663:
520:a particular type of
418:Regression validation
397:Bayesian multivariate
114:Polynomial regression
5402:Probabilistic design
4987:Principal components
4830:Exponential families
4782:Nonlinear regression
4761:General linear model
4723:Mixed effects models
4713:Errors and residuals
4690:Confounding variable
4592:Bayesian probability
4570:Van der Waerden test
4560:Ordered alternative
4325:Multiple comparisons
4204:RaoâBlackwellization
4167:Estimating equations
4123:Statistical distance
3841:Factorial experiment
3374:Arithmetic-Geometric
2929:
2922:may be expressed as
2895:
2873:
2842:
2816:
2789:
2525:
2445:
2212:
2185:
2154:
2127:
2107:
2053:
2047:nonparametric kernel
1974:
1925:
1752:
1729:
1698:
1600:
1566:
1535:
1515:
1476:
1444:
1397:
1377:
1350:
1330:
1310:
1243:
1212:
1157:
1115:
1095:
1071:
977:
899:
861:
841:
801:
775:
755:
729:
702:
675:
559:
511:models that combine
443:GaussâMarkov theorem
438:Studentized residual
428:Errors and residuals
262:Principal components
232:Nonlinear regression
119:General linear model
5474:Official statistics
5397:Methods engineering
5078:Seasonal adjustment
4846:Poisson regressions
4766:Bayesian regression
4705:Regression analysis
4685:Partial correlation
4657:Regression analysis
4256:Prediction interval
4251:Likelihood interval
4241:Confidence interval
4233:Interval estimation
4194:Unbiased estimators
4012:Model specification
3892:Up-and-down designs
3580:Partial correlation
3536:Index of dispersion
3454:Interquartile range
2992:
2734:
2638:
2577:
2487:
2411:
2324:
2076:
2016:
1948:
1895:
1862:
1822:
1775:
1658:
1185:
1002:
587:
288:Errors-in-variables
155:Logistic regression
145:Binomial regression
90:Regression analysis
84:Part of a series on
5494:Spatial statistics
5374:Medical statistics
5274:First hitting time
5228:Whittle likelihood
4879:Degrees of freedom
4874:Multivariate ANOVA
4807:Heteroscedasticity
4619:Bayesian estimator
4584:Bayesian inference
4433:KolmogorovâSmirnov
4318:Randomization test
4288:Testing hypotheses
4261:Tolerance interval
4172:Maximum likelihood
4067:Exponential family
4000:Density estimation
3960:Statistical theory
3920:Natural experiment
3866:Scientific control
3783:Survey methodology
3469:Standard deviation
3078:
2980:
2912:
2879:
2859:
2828:
2802:
2772:
2722:
2700:
2626:
2565:
2496:
2475:
2428:
2399:
2350:
2312:
2241:
2203:maximum likelihood
2191:
2177:are assumed to be
2167:
2140:
2113:
2085:
2064:
2029:
2004:
1957:
1936:
1904:
1883:
1850:
1810:
1763:
1735:
1715:
1681:
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1618:
1579:
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1054:
988:
959:
885:
847:
827:
787:
761:
741:
715:
688:
658:
575:
175:Multinomial probit
5596:
5595:
5534:
5533:
5530:
5529:
5469:National accounts
5439:Actuarial science
5431:Social statistics
5324:
5323:
5320:
5319:
5316:
5315:
5251:Survival function
5236:
5235:
5098:Granger causality
4939:Contingency table
4914:Survival analysis
4891:
4890:
4887:
4886:
4743:Linear regression
4638:
4637:
4634:
4633:
4609:Credible interval
4578:
4577:
4361:
4360:
4177:Method of moments
4046:Parametric family
4007:Statistical model
3937:
3936:
3933:
3932:
3851:Random assignment
3773:Statistical power
3707:
3706:
3703:
3702:
3552:Contingency table
3522:
3521:
3389:Generalized/power
3179:978-0-691-12161-1
2882:{\displaystyle z}
2458:
2382:
2341:
2295:
2232:
2116:{\displaystyle y}
1987:
1603:
1524:{\displaystyle y}
1507:Ichimura's method
1386:{\displaystyle u}
1339:{\displaystyle X}
1319:{\displaystyle Y}
1221:{\displaystyle z}
1195:
1079:
497:
496:
150:Binary regression
109:Simple regression
104:Linear regression
79:
78:
71:
5616:
5584:
5583:
5572:
5571:
5561:
5560:
5546:
5545:
5449:Crime statistics
5343:
5342:
5330:
5329:
5247:
5246:
5213:Fourier analysis
5200:Frequency domain
5180:
5127:
5093:Structural break
5053:
5052:
5002:Cluster analysis
4949:Log-linear model
4922:
4921:
4897:
4896:
4838:
4812:Homoscedasticity
4668:
4667:
4644:
4643:
4563:
4555:
4547:
4546:(KruskalâWallis)
4531:
4516:
4471:Cross validation
4456:
4438:AndersonâDarling
4385:
4372:
4371:
4343:Likelihood-ratio
4335:Parametric tests
4313:Permutation test
4296:1- & 2-tails
4187:Minimum distance
4159:Point estimation
4155:
4154:
4106:Optimal decision
4057:
3956:
3955:
3943:
3942:
3925:Quasi-experiment
3875:Adaptive designs
3726:
3725:
3713:
3712:
3590:Rank correlation
3352:
3351:
3343:
3342:
3330:
3329:
3297:
3290:
3283:
3274:
3273:
3269:
3256:
3238:
3217:
3192:
3183:
3164:
3122:
3119:
3087:
3085:
3084:
3079:
3074:
3070:
3069:
3068:
3059:
3054:
3053:
3044:
3043:
3026:
3025:
3017:
3013:
3012:
3008:
3007:
3006:
2997:
2988:
2979:
2978:
2952:
2948:
2947:
2921:
2919:
2918:
2913:
2911:
2888:
2886:
2885:
2880:
2868:
2866:
2865:
2860:
2858:
2837:
2835:
2834:
2829:
2811:
2809:
2808:
2803:
2801:
2800:
2781:
2779:
2778:
2773:
2768:
2767:
2755:
2751:
2750:
2730:
2718:
2717:
2705:
2701:
2697:
2693:
2692:
2672:
2668:
2667:
2643:
2639:
2634:
2611:
2610:
2598:
2594:
2593:
2573:
2561:
2557:
2556:
2537:
2536:
2505:
2503:
2502:
2497:
2495:
2491:
2483:
2469:
2468:
2460:
2459:
2451:
2437:
2435:
2434:
2429:
2424:
2420:
2419:
2415:
2407:
2393:
2392:
2384:
2383:
2375:
2360:
2359:
2349:
2337:
2333:
2332:
2328:
2320:
2306:
2305:
2297:
2296:
2288:
2267:
2263:
2262:
2261:
2240:
2228:
2200:
2198:
2197:
2192:
2176:
2174:
2173:
2168:
2166:
2165:
2149:
2147:
2146:
2141:
2139:
2138:
2122:
2120:
2119:
2114:
2094:
2092:
2091:
2086:
2084:
2080:
2072:
2038:
2036:
2035:
2030:
2024:
2020:
2012:
1998:
1997:
1989:
1988:
1980:
1966:
1964:
1963:
1958:
1956:
1952:
1944:
1913:
1911:
1910:
1905:
1903:
1899:
1891:
1882:
1877:
1873:
1872:
1871:
1858:
1830:
1826:
1818:
1809:
1804:
1803:
1783:
1779:
1771:
1744:
1742:
1741:
1736:
1724:
1722:
1721:
1716:
1714:
1690:
1688:
1687:
1682:
1677:
1676:
1671:
1667:
1666:
1662:
1654:
1634:
1633:
1617:
1588:
1586:
1585:
1580:
1578:
1577:
1561:
1559:
1558:
1553:
1551:
1530:
1528:
1527:
1522:
1502:
1500:
1499:
1494:
1492:
1467:
1465:
1464:
1459:
1454:
1439:
1437:
1436:
1431:
1423:
1419:
1415:
1392:
1390:
1389:
1384:
1372:
1370:
1369:
1364:
1362:
1361:
1345:
1343:
1342:
1337:
1325:
1323:
1322:
1317:
1302:
1300:
1299:
1294:
1282:
1278:
1277:
1276:
1267:
1227:
1225:
1224:
1219:
1207:
1205:
1204:
1199:
1197:
1196:
1188:
1181:
1169:
1168:
1148:
1146:
1145:
1140:
1138:
1134:
1133:
1110:
1108:
1107:
1102:
1090:
1088:
1087:
1082:
1080:
1075:
1063:
1061:
1060:
1055:
1053:
1049:
1034:
1033:
1021:
1017:
1007:
1001:
996:
968:
966:
965:
960:
952:
948:
947:
946:
934:
933:
924:
919:
918:
894:
892:
891:
886:
884:
880:
879:
856:
854:
853:
848:
836:
834:
833:
828:
826:
825:
813:
812:
796:
794:
793:
788:
770:
768:
767:
762:
750:
748:
747:
742:
724:
722:
721:
716:
714:
713:
697:
695:
694:
689:
687:
686:
667:
665:
664:
659:
627:
626:
614:
610:
609:
583:
571:
570:
489:
482:
475:
459:
458:
366:Ridge regression
201:Multilevel model
81:
80:
74:
67:
63:
60:
54:
49:this article by
40:inline citations
27:
26:
19:
5624:
5623:
5619:
5618:
5617:
5615:
5614:
5613:
5599:
5598:
5597:
5592:
5555:
5526:
5488:
5425:
5411:quality control
5378:
5360:Clinical trials
5337:
5312:
5296:
5284:Hazard function
5278:
5232:
5194:
5178:
5141:
5137:BreuschâGodfrey
5125:
5102:
5042:
5017:Factor analysis
4963:
4944:Graphical model
4916:
4883:
4850:
4836:
4816:
4770:
4737:
4699:
4662:
4661:
4630:
4574:
4561:
4553:
4545:
4529:
4514:
4493:Rank statistics
4487:
4466:Model selection
4454:
4412:Goodness of fit
4406:
4383:
4357:
4329:
4282:
4227:
4216:Median unbiased
4144:
4055:
3988:Order statistic
3950:
3929:
3896:
3870:
3822:
3777:
3720:
3718:Data collection
3699:
3611:
3566:
3540:
3518:
3478:
3430:
3347:Continuous data
3337:
3324:
3306:
3301:
3245:10.2307/2951556
3236:10.1.1.318.4925
3208:(1â2): 71â120.
3180:
3153:10.2307/1912705
3131:
3126:
3125:
3120:
3116:
3111:
3094:
3064:
3060:
3055:
3049:
3045:
3039:
3035:
3034:
3030:
3018:
3002:
2998:
2993:
2984:
2974:
2970:
2969:
2965:
2961:
2957:
2956:
2943:
2939:
2935:
2930:
2927:
2926:
2901:
2896:
2893:
2892:
2874:
2871:
2870:
2848:
2843:
2840:
2839:
2817:
2814:
2813:
2796:
2792:
2790:
2787:
2786:
2763:
2759:
2746:
2742:
2738:
2726:
2713:
2709:
2699:
2698:
2688:
2684:
2680:
2674:
2673:
2663:
2659:
2655:
2648:
2644:
2630:
2619:
2615:
2606:
2602:
2589:
2585:
2581:
2569:
2552:
2548:
2544:
2532:
2528:
2526:
2523:
2522:
2516:
2479:
2474:
2470:
2461:
2450:
2449:
2448:
2446:
2443:
2442:
2403:
2398:
2394:
2385:
2374:
2373:
2372:
2371:
2367:
2355:
2351:
2345:
2316:
2311:
2307:
2298:
2287:
2286:
2285:
2278:
2274:
2257:
2253:
2246:
2242:
2236:
2218:
2213:
2210:
2209:
2186:
2183:
2182:
2161:
2157:
2155:
2152:
2151:
2134:
2130:
2128:
2125:
2124:
2108:
2105:
2104:
2101:
2068:
2063:
2059:
2054:
2051:
2050:
2008:
2003:
1999:
1990:
1979:
1978:
1977:
1975:
1972:
1971:
1940:
1935:
1931:
1926:
1923:
1922:
1887:
1878:
1867:
1863:
1854:
1849:
1845:
1841:
1837:
1814:
1805:
1799:
1795:
1794:
1790:
1767:
1762:
1758:
1753:
1750:
1749:
1730:
1727:
1726:
1704:
1699:
1696:
1695:
1672:
1650:
1645:
1641:
1629:
1625:
1624:
1620:
1619:
1607:
1601:
1598:
1597:
1573:
1569:
1567:
1564:
1563:
1541:
1536:
1533:
1532:
1516:
1513:
1512:
1509:
1482:
1477:
1474:
1473:
1447:
1445:
1442:
1441:
1411:
1407:
1403:
1398:
1395:
1394:
1378:
1375:
1374:
1357:
1353:
1351:
1348:
1347:
1331:
1328:
1327:
1311:
1308:
1307:
1272:
1268:
1260:
1259:
1255:
1244:
1241:
1240:
1234:
1213:
1210:
1209:
1187:
1186:
1177:
1164:
1160:
1158:
1155:
1154:
1129:
1125:
1121:
1116:
1113:
1112:
1096:
1093:
1092:
1074:
1072:
1069:
1068:
1039:
1035:
1029:
1025:
1003:
997:
992:
987:
983:
978:
975:
974:
971:heteroskedastic
942:
938:
929:
925:
920:
914:
910:
909:
905:
900:
897:
896:
875:
871:
867:
862:
859:
858:
842:
839:
838:
821:
817:
808:
804:
802:
799:
798:
776:
773:
772:
756:
753:
752:
730:
727:
726:
709:
705:
703:
700:
699:
682:
678:
676:
673:
672:
622:
618:
605:
601:
597:
579:
566:
562:
560:
557:
556:
546:
538:
493:
453:
433:Goodness of fit
140:Discrete choice
75:
64:
58:
55:
45:Please help to
44:
28:
24:
17:
12:
11:
5:
5622:
5612:
5611:
5594:
5593:
5591:
5590:
5578:
5566:
5552:
5539:
5536:
5535:
5532:
5531:
5528:
5527:
5525:
5524:
5519:
5514:
5509:
5504:
5498:
5496:
5490:
5489:
5487:
5486:
5481:
5476:
5471:
5466:
5461:
5456:
5451:
5446:
5441:
5435:
5433:
5427:
5426:
5424:
5423:
5418:
5413:
5404:
5399:
5394:
5388:
5386:
5380:
5379:
5377:
5376:
5371:
5366:
5357:
5355:Bioinformatics
5351:
5349:
5339:
5338:
5326:
5325:
5322:
5321:
5318:
5317:
5314:
5313:
5311:
5310:
5304:
5302:
5298:
5297:
5295:
5294:
5288:
5286:
5280:
5279:
5277:
5276:
5271:
5266:
5261:
5255:
5253:
5244:
5238:
5237:
5234:
5233:
5231:
5230:
5225:
5220:
5215:
5210:
5204:
5202:
5196:
5195:
5193:
5192:
5187:
5182:
5174:
5169:
5164:
5163:
5162:
5160:partial (PACF)
5151:
5149:
5143:
5142:
5140:
5139:
5134:
5129:
5121:
5116:
5110:
5108:
5107:Specific tests
5104:
5103:
5101:
5100:
5095:
5090:
5085:
5080:
5075:
5070:
5065:
5059:
5057:
5050:
5044:
5043:
5041:
5040:
5039:
5038:
5037:
5036:
5021:
5020:
5019:
5009:
5007:Classification
5004:
4999:
4994:
4989:
4984:
4979:
4973:
4971:
4965:
4964:
4962:
4961:
4956:
4954:McNemar's test
4951:
4946:
4941:
4936:
4930:
4928:
4918:
4917:
4893:
4892:
4889:
4888:
4885:
4884:
4882:
4881:
4876:
4871:
4866:
4860:
4858:
4852:
4851:
4849:
4848:
4832:
4826:
4824:
4818:
4817:
4815:
4814:
4809:
4804:
4799:
4794:
4792:Semiparametric
4789:
4784:
4778:
4776:
4772:
4771:
4769:
4768:
4763:
4758:
4753:
4747:
4745:
4739:
4738:
4736:
4735:
4730:
4725:
4720:
4715:
4709:
4707:
4701:
4700:
4698:
4697:
4692:
4687:
4682:
4676:
4674:
4664:
4663:
4660:
4659:
4654:
4648:
4640:
4639:
4636:
4635:
4632:
4631:
4629:
4628:
4627:
4626:
4616:
4611:
4606:
4605:
4604:
4599:
4588:
4586:
4580:
4579:
4576:
4575:
4573:
4572:
4567:
4566:
4565:
4557:
4549:
4533:
4530:(MannâWhitney)
4525:
4524:
4523:
4510:
4509:
4508:
4497:
4495:
4489:
4488:
4486:
4485:
4484:
4483:
4478:
4473:
4463:
4458:
4455:(ShapiroâWilk)
4450:
4445:
4440:
4435:
4430:
4422:
4416:
4414:
4408:
4407:
4405:
4404:
4396:
4387:
4375:
4369:
4367:Specific tests
4363:
4362:
4359:
4358:
4356:
4355:
4350:
4345:
4339:
4337:
4331:
4330:
4328:
4327:
4322:
4321:
4320:
4310:
4309:
4308:
4298:
4292:
4290:
4284:
4283:
4281:
4280:
4279:
4278:
4273:
4263:
4258:
4253:
4248:
4243:
4237:
4235:
4229:
4228:
4226:
4225:
4220:
4219:
4218:
4213:
4212:
4211:
4206:
4191:
4190:
4189:
4184:
4179:
4174:
4163:
4161:
4152:
4146:
4145:
4143:
4142:
4137:
4132:
4131:
4130:
4120:
4115:
4114:
4113:
4103:
4102:
4101:
4096:
4091:
4081:
4076:
4071:
4070:
4069:
4064:
4059:
4043:
4042:
4041:
4036:
4031:
4021:
4020:
4019:
4014:
4004:
4003:
4002:
3992:
3991:
3990:
3980:
3975:
3970:
3964:
3962:
3952:
3951:
3939:
3938:
3935:
3934:
3931:
3930:
3928:
3927:
3922:
3917:
3912:
3906:
3904:
3898:
3897:
3895:
3894:
3889:
3884:
3878:
3876:
3872:
3871:
3869:
3868:
3863:
3858:
3853:
3848:
3843:
3838:
3832:
3830:
3824:
3823:
3821:
3820:
3818:Standard error
3815:
3810:
3805:
3804:
3803:
3798:
3787:
3785:
3779:
3778:
3776:
3775:
3770:
3765:
3760:
3755:
3750:
3748:Optimal design
3745:
3740:
3734:
3732:
3722:
3721:
3709:
3708:
3705:
3704:
3701:
3700:
3698:
3697:
3692:
3687:
3682:
3677:
3672:
3667:
3662:
3657:
3652:
3647:
3642:
3637:
3632:
3627:
3621:
3619:
3613:
3612:
3610:
3609:
3604:
3603:
3602:
3597:
3587:
3582:
3576:
3574:
3568:
3567:
3565:
3564:
3559:
3554:
3548:
3546:
3545:Summary tables
3542:
3541:
3539:
3538:
3532:
3530:
3524:
3523:
3520:
3519:
3517:
3516:
3515:
3514:
3509:
3504:
3494:
3488:
3486:
3480:
3479:
3477:
3476:
3471:
3466:
3461:
3456:
3451:
3446:
3440:
3438:
3432:
3431:
3429:
3428:
3423:
3418:
3417:
3416:
3411:
3406:
3401:
3396:
3391:
3386:
3381:
3379:Contraharmonic
3376:
3371:
3360:
3358:
3349:
3339:
3338:
3326:
3325:
3323:
3322:
3317:
3311:
3308:
3307:
3300:
3299:
3292:
3285:
3277:
3271:
3270:
3257:
3218:
3193:
3184:
3178:
3165:
3130:
3127:
3124:
3123:
3113:
3112:
3110:
3107:
3106:
3105:
3100:
3093:
3090:
3089:
3088:
3077:
3073:
3067:
3063:
3058:
3052:
3048:
3042:
3038:
3033:
3029:
3024:
3021:
3016:
3011:
3005:
3001:
2996:
2991:
2987:
2983:
2977:
2973:
2968:
2964:
2960:
2955:
2951:
2946:
2942:
2938:
2934:
2910:
2907:
2904:
2900:
2878:
2857:
2854:
2851:
2847:
2827:
2824:
2821:
2799:
2795:
2783:
2782:
2771:
2766:
2762:
2758:
2754:
2749:
2745:
2741:
2737:
2733:
2729:
2725:
2721:
2716:
2712:
2708:
2704:
2696:
2691:
2687:
2683:
2679:
2676:
2675:
2671:
2666:
2662:
2658:
2654:
2651:
2650:
2647:
2642:
2637:
2633:
2629:
2625:
2622:
2618:
2614:
2609:
2605:
2601:
2597:
2592:
2588:
2584:
2580:
2576:
2572:
2568:
2564:
2560:
2555:
2551:
2547:
2543:
2540:
2535:
2531:
2515:
2512:
2494:
2490:
2486:
2482:
2478:
2473:
2467:
2464:
2457:
2454:
2439:
2438:
2427:
2423:
2418:
2414:
2410:
2406:
2402:
2397:
2391:
2388:
2381:
2378:
2370:
2366:
2363:
2358:
2354:
2348:
2344:
2340:
2336:
2331:
2327:
2323:
2319:
2315:
2310:
2304:
2301:
2294:
2291:
2284:
2281:
2277:
2273:
2270:
2266:
2260:
2256:
2252:
2249:
2245:
2239:
2235:
2231:
2227:
2224:
2221:
2217:
2190:
2164:
2160:
2137:
2133:
2123:is binary and
2112:
2100:
2097:
2083:
2079:
2075:
2071:
2067:
2062:
2058:
2040:
2039:
2027:
2023:
2019:
2015:
2011:
2007:
2002:
1996:
1993:
1986:
1983:
1955:
1951:
1947:
1943:
1939:
1934:
1930:
1915:
1914:
1902:
1898:
1894:
1890:
1886:
1881:
1876:
1870:
1866:
1861:
1857:
1853:
1848:
1844:
1840:
1836:
1833:
1829:
1825:
1821:
1817:
1813:
1808:
1802:
1798:
1793:
1789:
1786:
1782:
1778:
1774:
1770:
1766:
1761:
1757:
1734:
1713:
1710:
1707:
1703:
1692:
1691:
1680:
1675:
1670:
1665:
1661:
1657:
1653:
1649:
1644:
1640:
1637:
1632:
1628:
1623:
1616:
1613:
1610:
1606:
1576:
1572:
1550:
1547:
1544:
1540:
1520:
1508:
1505:
1491:
1488:
1485:
1481:
1457:
1453:
1450:
1429:
1426:
1422:
1418:
1414:
1410:
1406:
1402:
1382:
1360:
1356:
1335:
1315:
1304:
1303:
1291:
1288:
1285:
1281:
1275:
1271:
1266:
1263:
1258:
1254:
1251:
1248:
1233:
1230:
1217:
1194:
1191:
1184:
1180:
1176:
1172:
1167:
1163:
1137:
1132:
1128:
1124:
1120:
1100:
1078:
1052:
1048:
1045:
1042:
1038:
1032:
1028:
1024:
1020:
1016:
1013:
1010:
1006:
1000:
995:
991:
986:
982:
973:error process
958:
955:
951:
945:
941:
937:
932:
928:
923:
917:
913:
908:
904:
883:
878:
874:
870:
866:
846:
824:
820:
816:
811:
807:
786:
783:
780:
760:
740:
737:
734:
712:
708:
685:
681:
669:
668:
656:
653:
650:
647:
644:
641:
638:
635:
630:
625:
621:
617:
613:
608:
604:
600:
596:
593:
590:
586:
582:
578:
574:
569:
565:
545:
542:
537:
534:
495:
494:
492:
491:
484:
477:
469:
466:
465:
464:
463:
448:
447:
446:
445:
440:
435:
430:
425:
420:
412:
411:
407:
406:
405:
404:
399:
394:
389:
384:
376:
375:
374:
373:
368:
363:
358:
353:
345:
344:
343:
342:
337:
332:
327:
319:
318:
317:
316:
311:
306:
298:
297:
293:
292:
291:
290:
282:
281:
280:
279:
274:
269:
264:
259:
254:
249:
244:
242:Semiparametric
239:
234:
226:
225:
224:
223:
218:
213:
211:Random effects
208:
203:
195:
194:
193:
192:
187:
185:Ordered probit
182:
177:
172:
167:
162:
157:
152:
147:
142:
137:
132:
124:
123:
122:
121:
116:
111:
106:
98:
97:
93:
92:
86:
85:
77:
76:
31:
29:
22:
15:
9:
6:
4:
3:
2:
5621:
5610:
5607:
5606:
5604:
5589:
5588:
5579:
5577:
5576:
5567:
5565:
5564:
5559:
5553:
5551:
5550:
5541:
5540:
5537:
5523:
5520:
5518:
5517:Geostatistics
5515:
5513:
5510:
5508:
5505:
5503:
5500:
5499:
5497:
5495:
5491:
5485:
5484:Psychometrics
5482:
5480:
5477:
5475:
5472:
5470:
5467:
5465:
5462:
5460:
5457:
5455:
5452:
5450:
5447:
5445:
5442:
5440:
5437:
5436:
5434:
5432:
5428:
5422:
5419:
5417:
5414:
5412:
5408:
5405:
5403:
5400:
5398:
5395:
5393:
5390:
5389:
5387:
5385:
5381:
5375:
5372:
5370:
5367:
5365:
5361:
5358:
5356:
5353:
5352:
5350:
5348:
5347:Biostatistics
5344:
5340:
5336:
5331:
5327:
5309:
5308:Log-rank test
5306:
5305:
5303:
5299:
5293:
5290:
5289:
5287:
5285:
5281:
5275:
5272:
5270:
5267:
5265:
5262:
5260:
5257:
5256:
5254:
5252:
5248:
5245:
5243:
5239:
5229:
5226:
5224:
5221:
5219:
5216:
5214:
5211:
5209:
5206:
5205:
5203:
5201:
5197:
5191:
5188:
5186:
5183:
5181:
5179:(BoxâJenkins)
5175:
5173:
5170:
5168:
5165:
5161:
5158:
5157:
5156:
5153:
5152:
5150:
5148:
5144:
5138:
5135:
5133:
5132:DurbinâWatson
5130:
5128:
5122:
5120:
5117:
5115:
5114:DickeyâFuller
5112:
5111:
5109:
5105:
5099:
5096:
5094:
5091:
5089:
5088:Cointegration
5086:
5084:
5081:
5079:
5076:
5074:
5071:
5069:
5066:
5064:
5063:Decomposition
5061:
5060:
5058:
5054:
5051:
5049:
5045:
5035:
5032:
5031:
5030:
5027:
5026:
5025:
5022:
5018:
5015:
5014:
5013:
5010:
5008:
5005:
5003:
5000:
4998:
4995:
4993:
4990:
4988:
4985:
4983:
4980:
4978:
4975:
4974:
4972:
4970:
4966:
4960:
4957:
4955:
4952:
4950:
4947:
4945:
4942:
4940:
4937:
4935:
4934:Cohen's kappa
4932:
4931:
4929:
4927:
4923:
4919:
4915:
4911:
4907:
4903:
4898:
4894:
4880:
4877:
4875:
4872:
4870:
4867:
4865:
4862:
4861:
4859:
4857:
4853:
4847:
4843:
4839:
4833:
4831:
4828:
4827:
4825:
4823:
4819:
4813:
4810:
4808:
4805:
4803:
4800:
4798:
4795:
4793:
4790:
4788:
4787:Nonparametric
4785:
4783:
4780:
4779:
4777:
4773:
4767:
4764:
4762:
4759:
4757:
4754:
4752:
4749:
4748:
4746:
4744:
4740:
4734:
4731:
4729:
4726:
4724:
4721:
4719:
4716:
4714:
4711:
4710:
4708:
4706:
4702:
4696:
4693:
4691:
4688:
4686:
4683:
4681:
4678:
4677:
4675:
4673:
4669:
4665:
4658:
4655:
4653:
4650:
4649:
4645:
4641:
4625:
4622:
4621:
4620:
4617:
4615:
4612:
4610:
4607:
4603:
4600:
4598:
4595:
4594:
4593:
4590:
4589:
4587:
4585:
4581:
4571:
4568:
4564:
4558:
4556:
4550:
4548:
4542:
4541:
4540:
4537:
4536:Nonparametric
4534:
4532:
4526:
4522:
4519:
4518:
4517:
4511:
4507:
4506:Sample median
4504:
4503:
4502:
4499:
4498:
4496:
4494:
4490:
4482:
4479:
4477:
4474:
4472:
4469:
4468:
4467:
4464:
4462:
4459:
4457:
4451:
4449:
4446:
4444:
4441:
4439:
4436:
4434:
4431:
4429:
4427:
4423:
4421:
4418:
4417:
4415:
4413:
4409:
4403:
4401:
4397:
4395:
4393:
4388:
4386:
4381:
4377:
4376:
4373:
4370:
4368:
4364:
4354:
4351:
4349:
4346:
4344:
4341:
4340:
4338:
4336:
4332:
4326:
4323:
4319:
4316:
4315:
4314:
4311:
4307:
4304:
4303:
4302:
4299:
4297:
4294:
4293:
4291:
4289:
4285:
4277:
4274:
4272:
4269:
4268:
4267:
4264:
4262:
4259:
4257:
4254:
4252:
4249:
4247:
4244:
4242:
4239:
4238:
4236:
4234:
4230:
4224:
4221:
4217:
4214:
4210:
4207:
4205:
4202:
4201:
4200:
4197:
4196:
4195:
4192:
4188:
4185:
4183:
4180:
4178:
4175:
4173:
4170:
4169:
4168:
4165:
4164:
4162:
4160:
4156:
4153:
4151:
4147:
4141:
4138:
4136:
4133:
4129:
4126:
4125:
4124:
4121:
4119:
4116:
4112:
4111:loss function
4109:
4108:
4107:
4104:
4100:
4097:
4095:
4092:
4090:
4087:
4086:
4085:
4082:
4080:
4077:
4075:
4072:
4068:
4065:
4063:
4060:
4058:
4052:
4049:
4048:
4047:
4044:
4040:
4037:
4035:
4032:
4030:
4027:
4026:
4025:
4022:
4018:
4015:
4013:
4010:
4009:
4008:
4005:
4001:
3998:
3997:
3996:
3993:
3989:
3986:
3985:
3984:
3981:
3979:
3976:
3974:
3971:
3969:
3966:
3965:
3963:
3961:
3957:
3953:
3949:
3944:
3940:
3926:
3923:
3921:
3918:
3916:
3913:
3911:
3908:
3907:
3905:
3903:
3899:
3893:
3890:
3888:
3885:
3883:
3880:
3879:
3877:
3873:
3867:
3864:
3862:
3859:
3857:
3854:
3852:
3849:
3847:
3844:
3842:
3839:
3837:
3834:
3833:
3831:
3829:
3825:
3819:
3816:
3814:
3813:Questionnaire
3811:
3809:
3806:
3802:
3799:
3797:
3794:
3793:
3792:
3789:
3788:
3786:
3784:
3780:
3774:
3771:
3769:
3766:
3764:
3761:
3759:
3756:
3754:
3751:
3749:
3746:
3744:
3741:
3739:
3736:
3735:
3733:
3731:
3727:
3723:
3719:
3714:
3710:
3696:
3693:
3691:
3688:
3686:
3683:
3681:
3678:
3676:
3673:
3671:
3668:
3666:
3663:
3661:
3658:
3656:
3653:
3651:
3648:
3646:
3643:
3641:
3640:Control chart
3638:
3636:
3633:
3631:
3628:
3626:
3623:
3622:
3620:
3618:
3614:
3608:
3605:
3601:
3598:
3596:
3593:
3592:
3591:
3588:
3586:
3583:
3581:
3578:
3577:
3575:
3573:
3569:
3563:
3560:
3558:
3555:
3553:
3550:
3549:
3547:
3543:
3537:
3534:
3533:
3531:
3529:
3525:
3513:
3510:
3508:
3505:
3503:
3500:
3499:
3498:
3495:
3493:
3490:
3489:
3487:
3485:
3481:
3475:
3472:
3470:
3467:
3465:
3462:
3460:
3457:
3455:
3452:
3450:
3447:
3445:
3442:
3441:
3439:
3437:
3433:
3427:
3424:
3422:
3419:
3415:
3412:
3410:
3407:
3405:
3402:
3400:
3397:
3395:
3392:
3390:
3387:
3385:
3382:
3380:
3377:
3375:
3372:
3370:
3367:
3366:
3365:
3362:
3361:
3359:
3357:
3353:
3350:
3348:
3344:
3340:
3336:
3331:
3327:
3321:
3318:
3316:
3313:
3312:
3309:
3305:
3298:
3293:
3291:
3286:
3284:
3279:
3278:
3275:
3267:
3263:
3258:
3254:
3250:
3246:
3242:
3237:
3232:
3228:
3224:
3219:
3215:
3211:
3207:
3203:
3199:
3194:
3190:
3185:
3181:
3175:
3171:
3166:
3162:
3158:
3154:
3150:
3146:
3142:
3138:
3133:
3132:
3118:
3114:
3104:
3101:
3099:
3096:
3095:
3075:
3071:
3065:
3061:
3050:
3046:
3040:
3036:
3031:
3027:
3022:
3019:
3014:
3009:
3003:
2999:
2989:
2985:
2981:
2975:
2971:
2966:
2962:
2958:
2953:
2949:
2944:
2940:
2936:
2932:
2925:
2924:
2923:
2908:
2905:
2902:
2898:
2890:
2876:
2855:
2852:
2849:
2845:
2825:
2822:
2819:
2797:
2793:
2769:
2764:
2760:
2756:
2752:
2747:
2743:
2739:
2735:
2731:
2727:
2723:
2719:
2714:
2710:
2706:
2702:
2694:
2689:
2685:
2681:
2677:
2669:
2664:
2660:
2656:
2652:
2645:
2640:
2635:
2631:
2627:
2623:
2620:
2616:
2612:
2607:
2603:
2599:
2595:
2590:
2586:
2582:
2578:
2574:
2570:
2566:
2562:
2558:
2553:
2549:
2545:
2541:
2538:
2533:
2529:
2521:
2520:
2519:
2511:
2509:
2508:leave-one-out
2492:
2488:
2484:
2480:
2476:
2471:
2465:
2462:
2452:
2425:
2421:
2416:
2412:
2408:
2404:
2400:
2395:
2389:
2386:
2376:
2368:
2364:
2361:
2356:
2352:
2346:
2342:
2338:
2334:
2329:
2325:
2321:
2317:
2313:
2308:
2302:
2299:
2289:
2282:
2279:
2275:
2271:
2268:
2264:
2258:
2254:
2250:
2247:
2243:
2237:
2233:
2229:
2225:
2222:
2219:
2215:
2208:
2207:
2206:
2204:
2188:
2180:
2162:
2158:
2135:
2131:
2110:
2096:
2081:
2077:
2073:
2069:
2065:
2060:
2056:
2049:estimator of
2048:
2045:
2044:leave-one-out
2025:
2021:
2017:
2013:
2009:
2005:
2000:
1994:
1991:
1981:
1970:
1969:
1968:
1953:
1949:
1945:
1941:
1937:
1932:
1928:
1920:
1900:
1896:
1892:
1888:
1884:
1874:
1868:
1864:
1859:
1855:
1851:
1846:
1842:
1838:
1834:
1831:
1827:
1823:
1819:
1815:
1811:
1800:
1796:
1791:
1787:
1784:
1780:
1776:
1772:
1768:
1764:
1759:
1755:
1748:
1747:
1746:
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517:nonparametric
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5459:Econometrics
5409: /
5392:Chemometrics
5369:Epidemiology
5362: /
5335:Applications
5177:ARIMA model
5124:Q-statistic
5073:Stationarity
4969:Multivariate
4912: /
4908: /
4906:Multivariate
4904: /
4844: /
4840: /
4791:
4614:Bayes factor
4513:Signed rank
4425:
4399:
4391:
4379:
4074:Completeness
3910:Cohort study
3808:Opinion poll
3743:Missing data
3730:Study design
3685:Scatter plot
3607:Scatter plot
3600:Spearman's Ï
3562:Grouped data
3265:
3261:
3226:
3223:Econometrica
3222:
3205:
3201:
3188:
3169:
3144:
3141:Econometrica
3140:
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1232:Index models
1066:
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552:is given by
547:
539:
530:inconsistent
526:misspecified
504:
498:
361:Non-negative
241:
65:
56:
37:
5587:WikiProject
5502:Cartography
5464:Jurimetrics
5416:Reliability
5147:Time domain
5126:(LjungâBox)
5048:Time-series
4926:Categorical
4910:Time-series
4902:Categorical
4837:(Bernoulli)
4672:Correlation
4652:Correlation
4448:JarqueâBera
4420:Chi-squared
4182:M-estimator
4135:Asymptotics
4079:Sufficiency
3846:Interaction
3758:Replication
3738:Effect size
3695:Violin plot
3675:Radar chart
3655:Forest plot
3645:Correlogram
3595:Kendall's Ï
2838:vector and
2510:estimator.
2179:independent
1468:which is a
371:Regularized
335:Generalized
267:Least angle
165:Mixed logit
59:August 2015
51:introducing
5454:Demography
5172:ARMA model
4977:Regression
4554:(Friedman)
4515:(Wilcoxon)
4453:Normality
4443:Lilliefors
4390:Student's
4266:Resampling
4140:Robustness
4128:divergence
4118:Efficiency
4056:(monotone)
4051:Likelihood
3968:Population
3801:Stratified
3753:Population
3572:Dependence
3528:Count data
3459:Percentile
3436:Dispersion
3369:Arithmetic
3304:Statistics
3268:: 757â796.
3129:References
1393:satisfies
513:parametric
509:regression
501:statistics
410:Background
314:Non-linear
296:Estimation
34:references
4835:Logistic
4602:posterior
4528:Rank sum
4276:Jackknife
4271:Bootstrap
4089:Bootstrap
4024:Parameter
3973:Statistic
3768:Statistic
3680:Run chart
3665:Pie chart
3660:Histogram
3650:Fan chart
3625:Bar chart
3507:L-moments
3394:Geometric
3231:CiteSeerX
3020:−
2933:γ
2906:⋅
2899:γ
2846:β
2823:×
2736:γ
2678:β
2653:α
2579:β
2542:α
2489:β
2463:−
2456:^
2413:β
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2380:^
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2326:β
2300:−
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2251:−
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2189:β
2078:β
2018:β
1992:−
1985:^
1950:β
1897:β
1865:β
1824:β
1777:β
1733:β
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1660:β
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1487:⋅
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1355:β
1270:β
1193:^
1190:β
1171:−
1149:from the
1099:β
1027:σ
845:β
815:∈
782:×
759:β
736:×
646:…
589:β
507:includes
277:Segmented
5603:Category
5549:Category
5242:Survival
5119:Johansen
4842:Binomial
4797:Isotonic
4384:(normal)
4029:location
3836:Blocking
3791:Sampling
3670:QâQ plot
3635:Box plot
3617:Graphics
3512:Skewness
3502:Kurtosis
3474:Variance
3404:Heronian
3399:Harmonic
3092:See also
2990:′
2732:′
2636:′
2575:′
2485:′
2409:′
2322:′
2074:′
2014:′
1946:′
1893:′
1860:′
1820:′
1773:′
1656:′
1452:′
1265:′
1183:′
585:′
392:Bayesian
330:Weighted
325:Ordinary
257:Isotonic
252:Quantile
5575:Commons
5522:Kriging
5407:Process
5364:studies
5223:Wavelet
5056:General
4223:Plug-in
4017:L space
3796:Cluster
3497:Moments
3315:Outline
3253:2951556
3161:1912705
2506:is the
536:Methods
351:Partial
190:Poisson
47:improve
5444:Census
5034:Normal
4982:Manova
4802:Robust
4552:2-way
4544:1-way
4382:-test
4053:
3630:Biplot
3421:Median
3414:Lehmer
3356:Center
3251:
3233:
3176:
3159:
2785:where
2441:where
2201:using
1919:kernel
1917:using
1470:scalar
1306:where
671:where
309:Linear
247:Robust
170:Probit
96:Models
36:, but
5068:Trend
4597:prior
4539:anova
4428:-test
4402:-test
4394:-test
4301:Power
4246:Pivot
4039:shape
4034:scale
3484:Shape
3464:Range
3409:Heinz
3384:Cubic
3320:Index
3249:JSTOR
3157:JSTOR
3109:Notes
2812:is a
1967:with
771:is a
725:is a
356:Total
272:Local
5301:Test
4501:Sign
4353:Wald
3426:Mode
3364:Mean
3174:ISBN
2150:and
2042:the
1346:and
528:and
515:and
4481:BIC
4476:AIC
3241:doi
3210:doi
3149:doi
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