Generalizations of the δ-corrected Kolmogorov-Smirnov goodness-of-fit test

被引：2

作者：

Feltz, CJ ^{[1
]}

机构：

[1] No Illinois Univ, Div Stat, De Kalb, IL 60115 USA

来源：

AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS | 1998年 / 40卷 / 04期

关键词：

goodness-of-fit tests; delta-corrected Kolmogorov-Smirnov test; kernel density;

D O I：

10.1111/1467-842X.00045

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：

This paper generalizes the delta-corrected Kolmogorov-Smirnov (K-S) test into a family of tests, and investigates the behaviour of some of the members of the family, comparing them with the usual KS test, as well as the delta-corrected KS tests suggested by Harter et al. (1984) and Khamis (1990, 1992, 1993). These investigations and power studies suggest which tests are most powerful for which alternative hypotheses.

引用

页码：407 / 413

页数：7

共 6 条

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[2] MODIFIED KOLMOGOROV-SMIRNOV TESTS OF GOODNESS OF FIT [J].

HARTER, HL ;

KHAMIS, HJ ;

LAMB, RE .

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 1984, 13 (03) :293-323

[3] THE DELTA-CORRECTED KOLMOGOROV SMIRNOV TEST FOR GOODNESS OF FIT [J].

KHAMIS, HJ .

JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 1990, 24 (03) :317-335

[4]

KHAMIS HJ, 1992, NONPARAMETRIC STAT, V2, P17

[5]

KHAMIS HJ, 1993, APPL STAT, V20, P401

[6]

Tapia RA., 1978, Nonparametric probability density estimation

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