Testing Homogeneity of Scale Parameters Against Ordered Alternatives Using Hodges-Lehmann Estimators

DOI10.1080/02331889708802556zbMath1007.62506OpenAlexW2083130971MaRDI QIDQ4331859

Anil Kumar Dhawan, Amar Nath Gill

Publication date: 12 February 1997

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331889708802556

zbMATH Keywords

asymptotic relative efficiencyrank statisticstwo-sample scale problem

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Hypothesis testing in multivariate analysis (62H15) Parametric inference under constraints (62F30)

Related Items (1)

Nonparametric multiple sample scale testing using U-statistics

Cites Work

• Distribution-free test for homogeneity against stochastic ordering
• Nonparametric tests for homogeneity of scale against ordered alternatives
• On the asymptotic equivalence of two ranking methods for K-sample linear rank statistics
• A class of non-parametric tests for homogeneity against ordered alternatives
• On Certain Two-sample Nonparametric Tests for Variances
• Rank-Sum Tests for Dispersions
• A Nonparametric Sum of Ranks Procedure for Relative Spread in Unpaired Samples
• Approximation Theorems of Mathematical Statistics
• A new class of distribution free procedures for testing homogeneity of scale parameters against ordered alternatives
• Nonparametric Estimation of Ratio of Scale Parameters
• Some distribution‐free K‐sample rank tests of homogeneity against ordered alternatives
• Estimates of Location Based on Rank Tests
• Linear Statistical Inference and its Applications
• Testing Homogeneity Against Ordered Alternatives
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