Likelihood and Bayesian Inference : With Applications in Biology and Medicine. 2nd ed. 2020

種類:

電子ブック

責任表示:

by Leonhard Held, Daniel Sabanés Bové

出版情報:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2020

著者名:

• Held, Leonhard.
• Sabanés Bové, Daniel.
• SpringerLink (Online service)

シリーズ名:

Statistics for Biology and Health ;

ISBN:

9783662607923 [3662607921]    

注記:

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 n

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