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Amazon.com: Bayesian Statistics for Experimental Scientists,61HIMwREFqL.jpg,Amazon.com: Bayesian Nonparametrics for Causal Inference and,71rNfecNcvL._AC_UF1000,,Frontiers | bayes4psy—An Open Source R Package for Bayesian,Richard A. ChechileBayesian Statistics for Experimental Scientists: A General Introduction Using Distribution-Free Methodsほぼ未使用ですが個人保管の点ご了承ください。ブルース・リーマニア30 & ブルース・リーレビュー12 管02。ーAn introduction to the Bayesian approach to statistical inference that demonstrates its superiority to orthodox frequentist statistical analysis.This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free methods. It covers not only well-developed methods for doing Bayesian statistics but also novel tools that enable Bayesian statistical analyses for cases that previously did not have a full Bayesian solution. The book's premise is that there are fundamental problems with orthodox frequentist statistical analyses that distort the scientific process. Side-by-side comparisons of Bayesian and frequentist methods illustrate the mismatch between the needs of experimental scientists in making inferences from data and the properties of the standard tools of classical s