Hypothesis testing for two discrete populations based on the Hellinger distance

DOI10.1016/J.SPL.2009.10.008zbMath1180.62031OpenAlexW2144262858MaRDI QIDQ844873

Leandro Pardo, Ayanendranath Basu, Abhijit Mandal

Publication date: 5 February 2010

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2009.10.008

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Parametric hypothesis testing (62F03) Central limit and other weak theorems (60F05) Sampling theory, sample surveys (62D05) Asymptotic properties of parametric tests (62F05)

Related Items (3)

On second order efficient robust inference ⋮ Multinomial goodness-of-fit tests under inlier modification ⋮ Minimum disparity estimation: improved efficiency through inlier modification

Cites Work

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• Minimum disparity inference and the empty cell penalty: asymptotic results
• Minimum Hellinger distance estimates for parametric models
• Efficiency versus robustness: The case for minimum Hellinger distance and related methods
• On the applications of divergence type measures in testing statistical hypotheses
• Tests of hypotheses in discrete models based on the penalized Hellinger distance
• Approximation Theorems of Mathematical Statistics
• Minimum Hellinger Distance Estimation for the Analysis of Count Data

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