On testing hypotheses with divergence statistics

DOI10.1080/03610929608831710zbMath0875.62031OpenAlexW2151704624MaRDI QIDQ4337136

María Dolores Esteban

Publication date: 19 May 1997

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929608831710

zbMATH Keywords

entropyasymptotic distributionmaximum likelihood estimatorstesting statistical hypothesesdivergence statistics

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Parametric hypothesis testing (62F03) Statistical aspects of information-theoretic topics (62B10)

Related Items (1)

Some new statistics for testing point null hypotheses with prior information

Cites Work

• A Mathematical Theory of Communication
• Entropy differential metric, distance and divergence measures in probability spaces: A unified approach
• Trigonometric entropies, Jensen difference divergence measures, and error bounds
• Entropy of type \((\alpha,\beta)\) and other generalized measures in information theory
• On the convexity of some divergence measures based on entropy functions
• Charakterisierung der Entropien positiver Ordnung und der shannonschen Entropie
• Information radius
• Information-theoretical considerations on estimation problems
• Unnamed Item

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