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TESTING GOODNESS-OF-FIT VIA NONPARAMETRIC FUNCTION ESTIMATION TECHNIQUES

被引：34
作者：
EUBANK, RL
HART, JD
LARICCIA, VN
机构：
[1] TEXAS A&M UNIV SYST,DEPT STAT,COLL STN,TX 77843
[2] UNIV DELAWARE,DEPT MATH SCI,NEWARK,DE 19716
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1993年 / 22卷 / 12期
关键词：
OMNIBUS TESTS; CRAMER-VONMISES TEST; FOURIER SERIES; LOCAL ALTERNATIVES; SMOOTHING SPLINE; SMOOTHING PARAMETER; DATA-DRIVEN SMOOTHING;
D O I：
10.1080/03610929308831219
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
An overview is given of methodology for testing goodness of fit of parametric models using nonparametric function estimation techniques. The ideas are illustrated in two settings: the classical one-sample goodness-of-fit scenario and testing the goodness of fit of a polynomial regression model.
引用
收藏
页码：3327 / 3354
页数：28
相关论文
共 41 条
[1]   AN OMNIBUS TEST FOR DEPARTURES FROM CONSTANT MEAN [J].
BARRY, D ;
HARTIGAN, JA .
ANNALS OF STATISTICS, 1990, 18 (03) :1340-1357
[2]   SOME GLOBAL MEASURES OF DEVIATIONS OF DENSITY-FUNCTION ESTIMATES [J].
BICKEL, PJ ;
ROSENBLA.M .
ANNALS OF STATISTICS, 1973, 1 (06) :1071-1095
[3]  
BUCKLEY MJ, 1991, BIOMETRIKA, V78, P253
[4]  
CHEN JC, 1992, THESIS TEXAS A M U
[5]   A SMOOTHING SPLINE BASED TEST OF MODEL ADEQUACY IN POLYNOMIAL REGRESSION [J].
COX, D ;
KOH, E .
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 1989, 41 (02) :383-400
[6]   TESTING THE (PARAMETRIC) NULL MODEL HYPOTHESIS IN (SEMIPARAMETRIC) PARTIAL AND GENERALIZED SPLINE MODELS [J].
COX, D ;
KOH, E ;
WAHBA, G ;
YANDELL, BS .
ANNALS OF STATISTICS, 1988, 16 (01) :113-119
[7]   OSCILLATION MATRICES WITH SPLINE SMOOTHING [J].
DEMMLER, A ;
REINSCH, C .
NUMERISCHE MATHEMATIK, 1975, 24 (05) :375-382
[8]  
DURBIN J, 1972, J ROY STAT SOC B, V34, P290
[9]  
Eubank R.L., 1988, SPLINE SMOOTHING NON
[10]   TESTING THE GOODNESS OF FIT OF A LINEAR-MODEL VIA NONPARAMETRIC REGRESSION TECHNIQUES [J].
EUBANK, RL ;
SPIEGELMAN, CH .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1990, 85 (410) :387-392
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