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In den WarenkorbPaperback. Zustand: Brand New. 512 pages. 9.21x6.14x1.30 inches. In Stock.
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Taschenbuch. Zustand: Neu. Statistical Inference Based on Divergence Measures | Leandro Pardo | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Chapman and Hall/CRC | EAN 9780367578015 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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In den WarenkorbZustand: New. Leandro PardoThe 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 divergence statistics have become a very good alternative to the classical.
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In den WarenkorbZustand: New. Ayanendranath Basu got his PhD in Statistics from the Pennsylvania State University, USA, in 1991, working under the supervision of Professor Bruce G. Lindsay. After graduation he spent four years at the Department of Mathematics, University of Te.
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Sprache: Englisch
Verlag: Taylor & Francis Inc Okt 2005, 2005
ISBN 10: 1584886005 ISBN 13: 9781584886006
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Buch. Zustand: Neu. Neuware - Organized in systematic way, Statistical Inference Based on Divergence Measures presents classical problems of statistical inference, such as estimation and hypothesis testing, on the basis of measures of entropy and divergence with applications to multinomial and generation populations. On the basis of divergence measures, this book introduces minimum divergence estimators as well as divergence test statistics and compares them to the classical maximum likelihood estimator, chi-square test statistics, and the likelihood ratio test in different statistical problems. The text includes over 120 exercises with solutions, making it ideal for students with a basic knowledge of statistical methods.