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New Developments in Statistical Information Theory Based on Entropy and Divergence Measures
Language: en
Pages: 344
Authors: Leandro Pardo
Categories: Social Science
Type: BOOK - Published: 2019-05-20 - Publisher: MDPI

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This book presents new and original research in Statistical Information Theory, based on minimum divergence estimators and test statistics, from a theoretical a
New Developments in Statistical Information Theory Based on Entropy and Divergence Measures
Language: en
Pages: 344
Authors: Leandro Pardo
Categories: Social sciences (General)
Type: BOOK - Published: 2019 - Publisher:

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This book presents new and original research in Statistical Information Theory, based on minimum divergence estimators and test statistics, from a theoretical a
Statistical Inference Based on Divergence Measures
Language: en
Pages: 512
Authors: Leandro Pardo
Categories: Mathematics
Type: BOOK - Published: 2018-11-12 - Publisher: CRC Press

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The idea of using functionals of Information Theory, such as entropies or divergences, in statistical inference is not new. However, in spite of the fact that d
Concepts and Recent Advances in Generalized Information Measures and Statistics
Language: en
Pages: 432
Authors: Andres M. Kowalski, Raul D. Rossignoli and Evaldo M. F. Curado
Categories: Science
Type: BOOK - Published: 2013-12-13 - Publisher: Bentham Science Publishers

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Since the introduction of the information measure widely known as Shannon entropy, quantifiers based on information theory and concepts such as entropic forms a
Statistical Inference Based on Divergence Measures
Language: en
Pages: 512
Authors: Leandro Pardo
Categories: Mathematics
Type: BOOK - Published: 2005-10-10 - Publisher: Chapman and Hall/CRC

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The idea of using functionals of Information Theory, such as entropies or divergences, in statistical inference is not new. However, in spite of the fact that d