Download EBOOK Doing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS PDF for free
 
Category: Science & Geography
The author of the book: Kruschke John
Format files: PDF, EPUB, TXT, DOCX
The size of the: 680 KB
Language: English
ISBN13: 9780123814852
Edition: Academic Press Inc
Date of issue: 1 December 2010

Description of the book "Doing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS":
There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides an accessible approach, as all mathematics is explained intuitively and with concrete examples. It assumes only algebra and 'rusty' calculus. Unlike other textbooks, this book begins with the basics, including essential concepts of probability and random sampling. This book gradually climbs all the way to advanced hierarchical modeling methods for realistic data. The PDF text provides complete examples with the R programming language and BUGS software (both freeware), and begins with basic programming examples, working up gradually to complete programs for complex analyses and presentation graphics. These templates can be easily adapted for a large variety of students and their own research needs. The textbook bridges the students from their undergraduate training into modern Bayesian methods.
It provides complete examples with R programming language and BUGS software (both Freeware). It addresses topics such as experiment planning, power analysis and sample size planning. It includes numerous exercises with explicit purposes and guidelines for accomplishment ePub.
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Kruschke John
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Download EBOOK Doing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS for free
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