A simulation study of a new family of test statistics for the Behrens‐Fisher problem

DOI10.1108/03684920710749866zbMath1193.93044OpenAlexW2091913736WikidataQ59487533 ScholiaQ59487533MaRDI QIDQ3579693

Julio Angel Pardo, María del Carmen Pardo

Publication date: 10 August 2010

Published in: Kybernetes (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1108/03684920710749866

zbMATH Keywords

simulationstatisticscybernetics

Mathematics Subject Classification ID

General systems (93A10)

Related Items (1)

A test statistic with a ranking method based on the Jeffreys divergence measure

Cites Work

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• Some new statistics for testing hypotheses in parametric models
• Use of Rényi's divergence to test for the equality of the coefficients of variation
• An adjusted likelihood-ratio approach to the behrens-fisher problem
• Welch's Approximate Solution for the Behrens-Fisher Problem
• LIKELIHOOD DIVERGENCE STATISTICS FOR TESTING HYPOTHESES ABOUT MULTIPLE POPULATION
• THE SIGNIFICANCE OF THE DIFFERENCE BETWEEN TWO MEANS WHEN THE POPULATION VARIANCES ARE UNEQUAL
• THE COMPARISON OF SAMPLES WITH POSSIBLY UNEQUAL VARIANCES

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