Bootstrap tests for robust means of asymmetric distributions with unequal shapes.

DOI10.1016/S0167-9473(01)00088-3zbMath1101.62321MaRDI QIDQ1603680

Alfio Marazzi

Publication date: 15 July 2002

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

zbMATH Keywords

Robust inferenceAsymmetric distributionsBootstrap inferenceConstrained estimationEquality of meansExponential tiltingTests for means

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Parametric hypothesis testing (62F03) Bootstrap, jackknife and other resampling methods (62F40) Nonparametric statistical resampling methods (62G09)

Related Items (3)

Permutation tests for homogeneity based on the empirical characteristic function ⋮ Comparing two independent populations using a test based on empirical likelihood and trimmed means ⋮ Empirical likelihood-based inference for the difference of two location parameters using smoothed M-estimators

Uses Software

• bootstrap
• bootlib

Cites Work

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• An invertible transformation two-sample trimmed \(t\)-statistic under heterogeneity and nonnormality
• Test of Equal Gamma-Distribution Means with Unknown and Unequal Shape Parameters
• Robust statistics for testing equality of means or variances
• Robust methods for personal‐income distribution models
• Notions of Limiting P Values Based on Data Depth and Bootstrap
• Robust Estimation for Grouped Data
• ON THE COMPARISON OF SEVERAL MEAN VALUES: AN ALTERNATIVE APPROACH
• Robust Statistics

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