Cramer-von Mises statistics for discrete distributions with unknown parameters

被引:13
|
作者
Lockhart, Richard A. [1 ]
Spinelli, John J.
Stephens, Michael A.
机构
[1] Simon Fraser Univ, Dept Stat & Actuarial Sci, Burnaby, BC V5A 1S6, Canada
[2] British Columbia Canc Res Ctr, Vancouver, BC V5Z 1L3, Canada
关键词
component; empirical distribution function; goodness-of-fit;
D O I
10.1002/cjs.5550350111
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
Choulakian, Lockhart & Stephens (1994) proposed Cramer-von Mises statistics for testing fit to a fully specified discrete distribution. The authors give slightly modified definitions for these statistics and determine their asymptotic behaviour in the case when unknown parameters in the distribution must be estimated from the sample data. They also present two examples of applications.
引用
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页码:125 / 133
页数:9
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