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Testing for Equality of Means with Incomplete Data on One Variable: A Monte Carlo Study

 

作者: Pi-Erh Lin,   LawrenceE. Stivers,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1975)
卷期: Volume 70, issue 349  

页码: 190-193

 

ISSN:0162-1459

 

年代: 1975

 

DOI:10.1080/01621459.1975.10480286

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

This article is concerned with the relative merit of the procedures proposed by Lin [2], Metha and Gurland [3], and Morrison [5] for testing the equality of means of a bivariate normal distribution with correlation ρ and common variance σ2when some observations on one variable are missing. A Monte Carlo study of the powers and level of significance is conducted. Comparisons among these tests and the pairedttest are made. The preferred test is established for each combination of ρ and difference of means.

 

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