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Comparing Biweight Measures of Location in the Two-Sample Problem

 

作者: Rand R. Wilcox,  

 

期刊: Communications in Statistics - Simulation and Computation  (Taylor Available online 1990)
卷期: Volume 19, issue 4  

页码: 1231-1245

 

ISSN:0361-0918

 

年代: 1990

 

DOI:10.1080/03610919008812913

 

出版商: Marcel Dekker, Inc.

 

关键词: M-estimators;bootstrap

 

数据来源: Taylor

 

摘要:

Kafadar proposed a method of comparing biweight measures of location corresponding to two independent groups. Motivated by results under the assumption that distributions are symmetric, her method approximates the null distribution of the test statistic with a Student's t distribution having degrees of freedomare the number of observations randomly sampled from the respective groups. A minor goal in this paper is to illustrate that this approximation can be unsatisfactory when distributions have different levels of skewness. Four alternative procedures are considered, each based on the bootstrap. Three of these procedures provide satisfactory probability coverage when sample sizes are equal, while one provides good probability coverage in all situations that were considered.

 

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