Doing Bayesian Data Analysis: A Tutorial with R and BUGS
There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis obtainable to a wide audience. Get and download textbook Doing Bayesian Data Analysis: A Tutorial with R and BUGS for free
Doing Bayesian Data Analysis
Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data. The text delivers comprehensive coverage of all scenarios addressed by non-Bayesian textbooks--t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, multiple regression, and chi-square (c Doing Bayesian Data Analysis new edition
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Doing Bayesian Data Analysis: A Tutorial with R and BUGS - John K. Kruschke
[ Ships Daily ] Condition: Good[ Underlining/Highlighting: NONE ] [ Writing: NONE ] Doing Bayesian Data Analysis: A Tutorial with R and BUGS By John K. Kruschke ISBN: 0123814855 Edition:first Publisher: Academic Press Pub Date: 11/10/2010 Binding: Hardcover Pages: 672
author kruschke john format hardback language english publication year 25 11 2010 subject mathematics sciences subject 2 science mathematics textbooks study guides ean 9780123814852 title doing bayesian data analysis sku st 0123814855 product category books comics magazines about speedy hen ltd by continuing with this checkout and ordering from speedy hen you are accepting our current terms and conditions details of which can be found by clicking here author s kruschke john content note approx 1
Doing Bayesian Data Analysis : A Tutorial Introduction with R and BUGS, ISBN-13: 9780123814852, ISBN-10: 0123814855
Doing Bayesian Data Analysis Textbook
Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples
The text delivers comprehensive coverage of all scenarios addressed by non-Bayesian textbooks--t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, multiple regression, and chi-square (c
