Rank tests in the two-sample scale problem with unequal and unknown locations

DOI10.1007/BF02927108zbMath0913.62044MaRDI QIDQ1280041

Wolfgang Kössler

Publication date: 10 June 1999

Published in: Statistical Papers (Search for Journal in Brave)

zbMATH Keywords

Wilcoxon testasymptotic relative efficiencysample variancerangeSavage testasymptotic power functionMoses test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20)

Related Items (5)

Two new classes of nonparametric tests for scale parameters ⋮ A general class of non parametric tests for comparing scale parameters ⋮ Multivariate Kruskal_Wallis tests based on principal component score and latent source of independent component analysis ⋮ An adaptive test for the two-sample scale problem where the common quantile may be different from the median ⋮ Two new distribution-free two-sample tests for versatile alternative

Uses Software

• NUMATH

Cites Work

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• Asymptotic normality of two sample linear rank statistics under U- statistic structure
• An improved method for comparing variances when distributions have non-identical shapes
• On testing the equality in dispersion of two probability distributions
• Nonparametric tests for scale and location
• Nonparametric Methods for Stratified Two-Sample Designs with Application to Multiclinic Trials
• Rank Tests of Dispersion
• A stochastic simulation study of a rank-like test for dispersion which is distribution-free under location differences
• Consistency and Unbiasedness of Certain Nonparametric Tests
• Restrictive adaptive tests for the treatment of the two-sample scale problem

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