Universal E-Book Reader

  Find Books:   Book Title

Author

Format

Doing Bayesian Data Analysis By: John Kruschke

Doing Bayesian Data Analysis
A Tutorial Introduction with R
John Kruschke

Format: EPUB  |   Year: 2010   |   File Size: 10.0MB   |   Pages: 639

Sign Up To Download

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, 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. Free software now includes programs in JAGS, which runs on Macintosh, Linux, and Windows.

Author website: http://www.indiana.edu/~kruschke/DoingBayesianDataAnalysis/


-Accessible, including the basics of essential concepts of probability and random sampling

-Examples with R programming language and BUGS software

-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 (contingency table analysis).

-Coverage of experiment planning

-R and BUGS computer programming code on website

-Exercises have explicit purposes and guidelines for accomplishment

Similar Books

Bayesian Data Analysis By: Andrew Gelman, John B. Carlin

Mathematics

. PDF

Bayesian Data Analysis
Andrew Gelman, John B. Carlin

Bayesian Methods for Data Analysis, Third Edition By: Bradley P. Carlin

Mathematics

. PDF

Bayesian Methods for Data Analysis, Third Edition
Bradley P. Carlin

Bayesian Analysis of Failure Time Data Using P-Splines By: Matthias Kaeding

Mathematics

. PDF

Bayesian Analysis of Failure Time Data Using P-Splines
Matthias Kaeding

Missing Data in Longitudinal Studies By: Michael J. Daniels, Joseph W. Hogan

Mathematics

. PDF

Missing Data in Longitudinal Studies
Michael J. Daniels, Joseph W. Hogan

Geometric Data Analysis By: Brigitte Le Roux

Mathematics

. PDF

Geometric Data Analysis
Brigitte Le Roux

Bayesian Models for Categorical Data By: Peter Congdon

Mathematics

. PDF

Bayesian Models for Categorical Data
Peter Congdon

Advances in Data Analysis By: Christos H. Skiadas

Mathematics

. PDF

Advances in Data Analysis
Christos H. Skiadas

Missing Data By: John W. Graham

Mathematics

. PDF

Missing Data
John W. Graham

Handbook of Statistical Analysis and Data Mining Applications By: Robert Nisbet, John Elder

Mathematics

. PDF

Handbook of Statistical Analysis and Data Mining Applications
Robert Nisbet, John Elder

Experiments with Mixtures - Third Edition By: John A. Cornell

Mathematics

. PDF

Experiments with Mixtures - Third Edition
John A. Cornell

Introduction to Hierarchical Bayesian Modeling for Ecological Data By: Eric Parent, Etienne Rivot

Mathematics

. PDF

Introduction to Hierarchical Bayesian Modeling for Ecological Data
Eric Parent, Etienne Rivot

Bayesian Inference for Partially Identified Models By: Paul Gustafson

Mathematics

. PDF

Bayesian Inference for Partially Identified Models
Paul Gustafson

Sign-Up as a Member and download
as many E-Books as you want

Download E-Book Readers

Windows Mac Android

PDF Books International - All Rights Reserved
Contact  |  Terms  |  Privacy  |  DMCA