Comparing two independent populations using a test based on empirical likelihood and trimmed means

DOI10.1007/S10986-021-09516-XzbMath1470.62050OpenAlexW3138774300MaRDI QIDQ2044289

Māra Delesa-Vēliņa, George Luta, Janis Valeinis

Publication date: 4 August 2021

Published in: Lithuanian Mathematical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10986-021-09516-x

zbMATH Keywords

robust statisticsempirical likelihoodpower analysistwo-sample casetrimmed means

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) Nonparametric estimation (62G05)

Uses Software

• robustbase
• WRS2
• EL

Cites Work

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• Robust nonparametric tests for the two-sample location problem
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• Bootstrap tests for robust means of asymmetric distributions with unequal shapes.
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• The asymptotic distribution of the trimmed mean
• TWO‐SAMPLE PROBLEMS IN STATISTICAL DATA MODELLING
• Empirical likelihood ratio confidence intervals for a single functional
• The two-sample trimmed t for unequal population variances
• EMPIRICAL LIKELIHOOD RATIO CONFIDENCE INTERVAL FOR THE TRIMMED MEAN
• Robust Statistics
• A First Course in Order Statistics
• The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses

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