00885nam0-22002771i-450 99000536479040332120230720131449.0000536479FED01000536479(Aleph)000536479FED0100053647919990530f---0---9km-y0itay50------baitay-------001yyEarly Contacs Between Italy and the Mediterranean East in the II Millennium B.C.Renato PeroniRomeIsmeos.d.P. 3-733 cmFrom East and West-Year V N. 2Peroni,Renato<1930- >38780ITUNINARICAUNIMARCBK990005364790403321ARCH. BM MISC. 038 (13)ARCH. 14483FLFBCFLFBCEarly Contacs Between Italy and the Mediterranean East in the II Millennium B.C594683UNINA03924nam 22007935 450 991048413740332120250701105813.097836626079233-662-60792-110.1007/978-3-662-60792-3(CKB)4100000010770691(DE-He213)978-3-662-60792-3(MiAaPQ)EBC6154570(PPN)243222955(MiAaPQ)EBC29104010(EXLCZ)99410000001077069120200331d2020 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierLikelihood and bayesian Inference with applications in biology and medicine /by Leonhard Held, Daniel Sabanés BovéSecond editionBerlin, Heidelberg :Springer-Verlag,2020.1 online resource (XIII, 402 pages, 84 illustrations)Statistics for Biology and Health,2197-56719783662607916 3-662-60791-3 This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it discusses the importance of statistical models in applied quantitative research and the central role of the likelihood function, describing likelihood-based inference from a frequentist viewpoint, and exploring the properties of the maximum likelihood estimate, the score function, the likelihood ratio and the Wald statistic. In the second part of the book, 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. It includes a separate chapter on modern numerical techniques for Bayesian inference, and also addresses advanced topics, such as model choice and prediction from frequentist and Bayesian perspectives. This revised edition of the book “Applied Statistical Inference” has been expanded to include new material on Markov models for time series analysis. It also features a comprehensive appendix covering the prerequisites in probability theory, matrix algebra, mathematical calculus, and numerical analysis, and each chapter is complemented by exercises. The text is primarily intended for graduate statistics and biostatistics students with an interest in applications.Statistics for Biology and Health,2197-5671BiometryStatisticsEcologyPopulation geneticsBiostatisticsStatistical Theory and MethodsBayesian InferenceTheoretical and Statistical EcologyPopulation GeneticsEstadística bayesianalemacEstadística matemàticalemacBiometrialemacEstadística mèdicalemacProbabilitatslemacBiometry.Statistics.Ecology.Population genetics.Biostatistics.Statistical Theory and Methods.Bayesian Inference.Theoretical and Statistical Ecology.Population Genetics.Estadística bayesianaEstadística matemàticaBiometriaEstadística mèdicaProbabilitats570.15195Held Leonhardauthttp://id.loc.gov/vocabulary/relators/aut721217Sabanés Bové Danielauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910484137403321Likelihood and Bayesian Inference2391152UNINA