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Aggiungi al carrelloHardcover. Condizione: Very Good+. Condizione sovraccoperta: No Dust Jacket. First Edition. Light rubbing and toning overall. Interior pages clean and unmarked. A tight and very clean copy. Photos upon request. International shipping billed at cost.; Statistics: A Series Of Textbooks And Monographs; 8vo 8" - 9" tall; 512 pages.
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Da: California Books, Miami, FL, U.S.A.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 830.
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Aggiungi al carrelloHardcover. Condizione: New. . . . . 8vo, hardcover. No dj. NEW. No wear inside or out: crisp, clean - pristine.492 pp. Mathematics, Probability, 1584886005.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 512 pages. 9.21x6.14x1.30 inches. In Stock.
Da: bmyguest books, Toronto, ON, Canada
Prima edizione
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Aggiungi al carrelloHardcover. Condizione: Fine. 1st Edition. No Gift Inscription Or Remarks Inside, 492 Pages With The Index. In Fine Condition. Hardcover. 2006. Pictorial Boards.books are NOT signed. We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us.
Da: Books Puddle, New York, NY, U.S.A.
EUR 189,19
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Aggiungi al carrelloCondizione: New. pp. xx + 492 Index.
Editore: Taylor & Francis, Chapman And Hall/CRC, 2020
ISBN 10: 0367578018 ISBN 13: 9780367578015
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 59,60
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 divergence statistics have become a very good alternative to the classical likelihood ratio test and the Pearson-type statistic in discrete models, many statisticians remain unaware of this powerful approach.Statistical Inference Based on Divergence Measures explores classical problems of statistical inference, such as estimation and hypothesis testing, on the basis of measures of entropy and divergence. The first two chapters form an overview, from a statistical perspective, of the most important measures of entropy and divergence and study their properties. The author then examines the statistical analysis of discrete multivariate data with emphasis is on problems in contingency tables and loglinear models using phi-divergence test statistics as well as minimum phi-divergence estimators. The final chapter looks at testing in general populations, presenting the interesting possibility of introducing alternative test statistics to classical ones like Wald, Rao, and likelihood ratio. Each chapter concludes with exercises that clarify the theoretical results and present additional results that complement the main discussions.Clear, comprehensive, and logically developed, this book offers a unique opportunity to gain not only a new perspective on some standard statistics problems, but the tools to put it into practice. 512 pp. Englisch.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 75,08
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Da: moluna, Greven, Germania
EUR 62,27
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 69,33
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 divergence statistics have become a very good alternative to the classical likelihood ratio test and the Pearson-type statistic in discrete models, many statisticians remain unaware of this powerful approach.Statistical Inference Based on Divergence Measures explores classical problems of statistical inference, such as estimation and hypothesis testing, on the basis of measures of entropy and divergence. The first two chapters form an overview, from a statistical perspective, of the most important measures of entropy and divergence and study their properties. The author then examines the statistical analysis of discrete multivariate data with emphasis is on problems in contingency tables and loglinear models using phi-divergence test statistics as well as minimum phi-divergence estimators. The final chapter looks at testing in general populations, presenting the interesting possibility of introducing alternative test statistics to classical ones like Wald, Rao, and likelihood ratio. Each chapter concludes with exercises that clarify the theoretical results and present additional results that complement the main discussions.Clear, comprehensive, and logically developed, this book offers a unique opportunity to gain not only a new perspective on some standard statistics problems, but the tools to put it into practice.
Da: Majestic Books, Hounslow, Regno Unito
EUR 185,16
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Aggiungi al carrelloCondizione: New. pp. xx + 492 Illus. This item is printed on demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 204,69
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. xx + 492.
Da: moluna, Greven, Germania
EUR 190,01
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.