Name: New Developments in Statistical Information Theory Based on Entropy and Divergence Measures (en Inglés)
SKU: 56772775
Price: 77.55 USD
Availability: InStock
Author: Pardo, Leandro

portada New Developments in Statistical Information Theory Based on Entropy and Divergence Measures (en Inglés)

New Developments in Statistical Information Theory Based on Entropy and Divergence Measures (en Inglés)

Formato

Libro Físico

Editorial

Mdpi AG

Autor

Pardo, Leandro

Idioma

Inglés

N° páginas

344

Encuadernación

Tapa Blanda

Dimensiones

24.4x17x2.4 cm

Peso

0.73 kg.

ISBN13

9783038979364

Categorías

Sociedad y cultura: general

New Developments in Statistical Information Theory Based on Entropy and Divergence Measures (en Inglés)

Pardo, Leandro (Autor) · Mdpi AG · Tapa Blanda

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Reseña del libro "New Developments in Statistical Information Theory Based on Entropy and Divergence Measures (en Inglés)"

This book presents new and original research in Statistical Information Theory, based on minimum divergence estimators and test statistics, from a theoretical and applied point of view, for different statistical problems with special emphasis on efficiency and robustness. Divergence statistics, based on maximum likelihood estimators, as well as Wald's statistics, likelihood ratio statistics and Rao's score statistics, share several optimum asymptotic properties, but are highly non-robust in cases of model misspecification under the presence of outlying observations. It is well-known that a small deviation from the underlying assumptions on the model can have drastic effect on the performance of these classical tests. Specifically, this book presents a robust version of the classical Wald statistical test, for testing simple and composite null hypotheses for general parametric models, based on minimum divergence estimators.