GOODNESS-OF-FIT TESTS FOR THE 2 PARAMETER WEIBULL DISTRIBUTION

被引：40

作者：

LITTELL, RC

MCCLAVE, JT

OFFEN, WW

机构：

来源：

COMMUNICATIONS IN STATISTICS PART B-SIMULATION AND COMPUTATION | 1979年 / 8卷 / 03期

关键词：

Anderson-Darlinq; Cramer-von Mises; critical values; Kolmogorov-Smirnov; power;

D O I：

10.1080/03610917908812118

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：

The Kolmogorov-Smirnov, Cramer-von Mises, and Anderson-Darling statistics are considered for testing the goodness of fit of the two-parameter Weibull distribution. The statistics for testing the goodness of fit of a completely specified distribution are modified by replacing the Weibull parameters by their maximum likelihood estimates. Also considered are two tests due to Mann, Scheuer, and Fertig (1973), and to Smith and Bain (1976). Tables of critical values are presented for the Kolmogorov-Smirnov, Cramer-von Mises, and Anderson-Darling statistics. The results of a power study are presented comparing all five tests. © 1979, Taylor & Francis Group, LLC. All rights reserved.

引用

页码：257 / 269

页数：13

共 16 条

[1] CORRELATIONAL DEFECTS IN STANDARD IBM-360 RANDOM NUMBER GENERATOR AND CLASSICAL IDEAL GAS CORRELATION-FUNCTION [J].