Confidence intervals for an effect size measure based on the Mann–Whitney statistic. Part 2: asymptotic methods and evaluation | Zendy

Newcombe Robert G. | Zendy

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Confidence intervals for an effect size measure based on the Mann–Whitney statistic. Part 2: asymptotic methods and evaluation

Author(s) -

Newcombe Robert G.

Publication year - 2005

Publication title -

statistics in medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.996

H-Index - 183

eISSN - 1097-0258

pISSN - 0277-6715

DOI - 10.1002/sim.2324

Subject(s) - confidence interval , statistic , statistics , mathematics , cdf based nonparametric confidence interval , sample size determination , mann–whitney u test , measure (data warehouse) , u statistic , coverage probability , gaussian , econometrics , computer science , efficiency , data mining , estimator , physics , quantum mechanics

Several asymptotic confidence interval methods for U / mn , the Mann–Whitney U statistic divided by the product of the two sample sizes, are developed and evaluated alongside published methods. Novel methods derived from Gaussian and beta models perform well, though overall a modification of the Hanley–McNeil approach (method 5 in this evaluation) performed better and is recommended for calculating confidence intervals for U / mn for continuously distributed data. Copyright © 2005 John Wiley & Sons, Ltd.

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