Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians (Chapman & Hall/CRC Texts in Statistical Science)

Bayesian Ideas and Data Analysis: An Introduction for Scientists and Statisticians (Chapman & Hall/CRC Texts in Statistical Science)

Ronald Christensen


Emphasizing using WinBUGS and R to research genuine info, Bayesian rules and information Analysis: An creation for Scientists and Statisticians offers statistical instruments to handle clinical questions. It highlights foundational concerns in facts, the significance of creating exact predictions, and the necessity for scientists and statisticians to collaborate in studying info. The WinBUGS code supplied bargains a handy platform to version and study quite a lot of data.

The first 5 chapters of the e-book comprise middle fabric that spans uncomplicated Bayesian rules, calculations, and inference, together with modeling one and pattern facts from conventional sampling types. The textual content then covers Monte Carlo equipment, resembling Markov chain Monte Carlo (MCMC) simulation. After discussing linear constructions in regression, it provides binomial regression, common regression, research of variance, and Poisson regression, prior to extending those easy methods to deal with correlated info. The authors additionally study survival research and binary diagnostic checking out. A complementary bankruptcy on diagnostic checking out for non-stop results is obtainable at the book’s site. The final bankruptcy on nonparametric inference explores density estimation and versatile regression modeling of suggest functions.

The acceptable statistical research of knowledge contains a collaborative attempt among scientists and statisticians. Exemplifying this strategy, Bayesian principles and knowledge Analysis specializes in the mandatory instruments and ideas for modeling and examining medical data.

information units and codes are supplied on a supplemental web site.

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