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024 7 $a10.1007/978-3-642-37887-4
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035   $a(Springer)9783642378874
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035   $a(PQKBTitleCode)TC0001067178
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035   $a(DE-He213)978-3-642-37887-4
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035   $a(PPN)176112219
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100   $a20131112d2014      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aApplied Statistical Inference $eLikelihood and Bayes /$fby Leonhard Held, Daniel Sabanés Bové
205   $a1st ed. 2014.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014.
215   $a1 online resource (XIII, 376 p. 71 illus.)$conline resource
300   $aBibliographic Level Mode of Issuance: Monograph
311 08$a3-642-37886-2 
320   $aIncludes bibliographical references and index.
330   $aThis 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.
606   $aStatistics
606   $aBiometry
606   $aMathematical statistics$xData processing
606   $aStatistical Theory and Methods
606   $aBiostatistics
606   $aStatistics and Computing
615  0$aStatistics.
615  0$aBiometry.
615  0$aMathematical statistics$xData processing.
615 14$aStatistical Theory and Methods.
615 24$aBiostatistics.
615 24$aStatistics and Computing.
676   $a519.5
700   $aHeld$b Leonhard$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721217
702   $aSabane?s Bove?$b Daniel$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910300156603321
996   $aApplied Statistical Inference$92536504
997   $aUNINA
999   $aThis Record contains information from the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others the Library of Congress