03491nam 22006255 450 991030015660332120250402132819.03-642-37887-010.1007/978-3-642-37887-4(CKB)3710000000078630(Springer)9783642378874(MH)013879546-0(SSID)ssj0001067178(PQKBManifestationID)11630065(PQKBTitleCode)TC0001067178(PQKBWorkID)11091932(PQKB)11093188(DE-He213)978-3-642-37887-4(MiAaPQ)EBC3095790(PPN)176112219(EXLCZ)99371000000007863020131112d2014 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierApplied Statistical Inference Likelihood and Bayes /by Leonhard Held, Daniel Sabanés Bové1st ed. 2014.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2014.1 online resource (XIII, 376 p. 71 illus.)online resourceBibliographic Level Mode of Issuance: Monograph3-642-37886-2 Includes bibliographical references and index.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.StatisticsBiometryMathematical statisticsData processingStatistical Theory and MethodsBiostatisticsStatistics and ComputingStatistics.Biometry.Mathematical statisticsData processing.Statistical Theory and Methods.Biostatistics.Statistics and Computing.519.5Held Leonhardauthttp://id.loc.gov/vocabulary/relators/aut721217Sabanés Bové Danielauthttp://id.loc.gov/vocabulary/relators/autBOOK9910300156603321Applied Statistical Inference2536504UNINAThis 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