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Applied Statistical Inference : Likelihood and Bayes / / by Leonhard Held, Daniel Sabanés Bové



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Autore: Held Leonhard Visualizza persona
Titolo: Applied Statistical Inference : Likelihood and Bayes / / by Leonhard Held, Daniel Sabanés Bové Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (XIII, 376 p. 71 illus.) : online resource
Disciplina: 519.5
Soggetto topico: Statistics
Biometry
Mathematical statistics - Data processing
Statistical Theory and Methods
Biostatistics
Statistics and Computing
Persona (resp. second.): Sabanés BovéDaniel
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references and index.
Sommario/riassunto: This book covers modern statistical inference based on likelihood with applications in medicine, epidemiology and biology. Two introductory chapters discuss the importance of statistical models in applied quantitative research and the central role of the likelihood function. The rest of the book is divided into three parts. The first describes likelihood-based inference from a frequentist viewpoint.  Properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic are discussed in detail. In the second part, likelihood is combined with prior information to perform Bayesian inference. Topics include Bayesian updating, conjugate and reference priors, Bayesian point and interval estimates, Bayesian asymptotics and empirical Bayes methods. Modern numerical techniques for Bayesian inference are described in a separate chapter. Finally two more advanced topics, model choice and prediction, are discussed both from a frequentist and a Bayesian perspective.   A comprehensive appendix covers the necessary prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis.
Titolo autorizzato: Applied Statistical Inference  Visualizza cluster
ISBN: 3-642-37887-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910300156603321
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