EXACT CONDITIONAL TESTS FOR INCOMPLETE CONTINGENCY-TABLES - ESTIMATING ATTAINED SIGNIFICANCE LEVELS

被引：7
|
作者：
SMITH, PWF [1 ]
MCDONALD, JW [1 ]
机构：
[1] UNIV SOUTHAMPTON,DEPT SOCIAL STAT,SOUTHAMPTON SO17 1BJ,HANTS,ENGLAND
来源：
STATISTICS AND COMPUTING | 1995年 / 5卷 / 03期
关键词：
ESTIMATED P-VALUES; MONTE CARLO EXACT TESTS; QUASI-INDEPENDENCE; SIMULATE-AND-REJECT PROCEDURE; SIMULATION-BASED INFERENCE;
D O I：
10.1007/BF00142667
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A Monte Carlo exact conditional test of quasi-independence in two-way incomplete contingency tables is proposed. The null distribution of a random table under quasi-independence is derived. This distribution depends only on the counts in the cells of interest and not on the counts in the remaining cells. This result is used to improve the efficiency of a proposed simulate-and-reject Monte Carlo procedure for estimating the attained significance level.
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页码：253 / 256
页数：4
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