A two-stage Wilcoxon-type nonparametric test for stochastic ordering in two samples

DOI10.1080/10485252.2012.735232zbMath1297.62101OpenAlexW2011044290MaRDI QIDQ5299867

Hon Keung Tony Ng, Ram C. Tripathi, Narayanaswamy Balakrishnan

Publication date: 24 June 2013

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485252.2012.735232

zbMATH Keywords

Monte Carlo methodpowertype-II censoringincomplete sampletest of symmetryminimal Wilcoxon rank-sumprecedence-type test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Inequalities; stochastic orderings (60E15) Order statistics; empirical distribution functions (62G30) Sequential statistical analysis (62L10) Testing in survival analysis and censored data (62N03)

Related Items (5)

A distribution-free \(m\)-out-of-\(n\) bootstrap approach to testing symmetry about an unknown median ⋮ Nonparametric multi-samples test for simple stochastic ordering against unrestricted alternative ⋮ On precedence tests with double sampling ⋮ Improved tests for homogeneity of variances ⋮ A new distribution-free control scheme based on order statistics

Cites Work

• An asymptotically distribution-free test of symmetry
• 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
• Weighted precedence and maximal precedence tests and an extension to progressive censoring
• Selecting the best population using a test for equality based on minimal Wilcoxon rank-sum precedence statistic
• WILCOXON-TYPE RANK-SUM PRECEDENCE TESTS
• Two modified Wilcoxon tests for symmetry about an unknown location parameter
• Wilcoxon‐type rank‐sum precedence tests: large‐sample approximation and evaluation
• Precedence‐Type Tests and Applications
• An Asymptotically Nonparametric Test of Symmetry
• On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
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