One Sample Limits of Some Two-Sample Rank Tests
作者:
LincolnE. Moses,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1964)
卷期:
Volume 59,
issue 307
页码: 645-651
ISSN:0162-1459
年代: 1964
DOI:10.1080/01621459.1964.10480719
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A composite hypothesis asserting some kind of equality about two distributions may be tested by use of a two-sample statistic. It is often true that if one sample size is allowed to become infinite in this statistic then it is interpretable as one for testing a simple hypothesis about the distribution furnishing the finite sample. (The simple hypothesis is furnished by the “infinite sample.”) Wilcoxon's two-sample test studied in this way becomes a useful tool for certain kinds of problems. A rank test of Lehmann's reduces to either Fisher's test for combining independent tests of significance or to one once proposed by Karl Pearson for the same purpose. Two natural one-sample limits of two-sample median tests are also presented.
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