Doing Bayesian Data Analysis

John K. Kruschke

ISBN 10: 0123814855 / ISBN 13: 9780123814852

Verlag: Academic Press Apr 2011, 2011

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 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, correlation, multiple regression, and chi-square (contingency table analysis). This book is intended for first year graduate students or advanced undergraduates. It provides a bridge between undergraduate training and modern Bayesian methods for data analysis, which is becoming the accepted research standard. Prerequisite is knowledge of algebra and basic calculus. 672 pp. Englisch. Bestandsnummer des Verkäufers 9780123814852

Bibliografische Details

Titel: Doing Bayesian Data Analysis

Verlag: Academic Press Apr 2011

Erscheinungsdatum: 2011

Einband: Buch

Zustand: Neu

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Book by Kruschke John

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"This book is head-and-shoulders better than the others I've seen.  I'm using it myself right now.  Here's what's good about it: ·It builds from very simple foundations. ·Math is minimized.  No proofs. ·From start to finish, everything is demonstrated through R programs. ·It helps you learn Empirical Bayesian methods from every angle..."--Exploring Possibility Space blog, March 12, 2014