Wilcoxon‐type rank‐sum precedence tests: large‐sample approximation and evaluation

DOI10.1002/asmb.478zbMath1012.62049OpenAlexW2149309819MaRDI QIDQ4797852

Hon Keung Tony Ng, Narayanaswamy Balakrishnan

Publication date: 9 March 2003

Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asmb.478

zbMATH Keywords

Lehmann alternativeslarge-sample approximationsWilcoxon-type rank-sum precedence tests

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10)

Related Items (8)

A nonparametric procedure based on early failures for selecting the best population using a test for equality ⋮ A new distribution-free monitoring scheme based on ranks ⋮ A two-stage Wilcoxon-type nonparametric test for stochastic ordering in two samples ⋮ Selecting the best population using a test for equality based on minimal Wilcoxon rank-sum precedence statistic ⋮ Wilcoxon-type rank-sum control charts based on progressively censored reference data ⋮ A new distribution-free control scheme based on order statistics ⋮ Precedence-type test based on Kaplan-Meier estimator of cumulative distribution function ⋮ Some nonparametric precedence-type tests based on progressively censored samples and evaluation of power

Cites Work

• The bootstrap and Edgeworth expansion

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