Skip Navigation

Biometrika 1988 75(4):753-760; doi:10.1093/biomet/75.4.753
© 1988 by Biometrika Trust
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by DAVIES, P.
Right arrow Articles by PHILLIPS, A. J.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Nonparametric tests of population differences and estimation of the probability of misidentification with unidentified paired data

P. DAVIES and A. J. PHILLIPS

Department of Statistics, University of Birmingham Birmingham B15 2TT, U.K.

A modified Mann-Whitney statistic is used to construct a permutation 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 or more effective than existing normal theory methods unless there is strong correlation within pairs.

Key Words: Identification • Lehmann family • Mann-Whitney • Misidentification probability • Paired data


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.