By Leonhard Held,Daniel Sabanés Bové
This ebook covers glossy statistical inference in response to probability with purposes in drugs, epidemiology and biology. introductory chapters speak about the significance of statistical types in utilized quantitative examine and the imperative function of the possibility functionality. the remainder of the e-book is split into 3 elements. the 1st describes likelihood-based inference from a frequentist viewpoint. houses of the utmost probability estimate, the rating functionality, the chance ratio and the Wald statistic are mentioned intimately. within the moment half, likelihood is mixed with previous details to accomplish Bayesian inference. issues comprise Bayesian updating, conjugate and reference priors, Bayesian element and period estimates, Bayesian asymptotics and empirical Bayes tools. smooth numerical concepts for Bayesian inference are defined in a separate bankruptcy. ultimately extra complex themes, version selection and prediction, are mentioned either from a frequentist and a Bayesian perspective.
A finished appendix covers the required necessities in likelihood concept, matrix algebra, mathematical calculus, and numerical analysis.
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Extra info for Applied Statistical Inference: Likelihood and Bayes
Applied Statistical Inference: Likelihood and Bayes by Leonhard Held,Daniel Sabanés Bové