NONPARAMETRIC-TESTS OF POPULATION DIFFERENCES AND ESTIMATION OF THE PROBABILITY OF MISIDENTIFICATION WITH UNIDENTIFIED PAIRED DATA
成果类型：
Article
署名作者：
DAVIES, P; PHILLIPS, AJ
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
发表日期：
1988
页码：
753760
关键词：
摘要：
A modified Mann-Whitney statistic is used to construct a permuation test for comparing samples of paired data from two populations when the population identities of each pair are uncertain. An estimator of the probability of population misidentification within a pair is also proposed. This is based on the Lehmann family of distributions. Simulation results show the new methods are generally as more effective than existing normal theory unless there is strong correlation within pairs.