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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