Doing Bayesian Data Analysis
John K. Kruschke
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at 250 WPM11h 12m
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23
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672
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Doing Bayesian Data Analysis
Published
2010
Publisher
Elsevier Science & Technology Books
Pages
672
ISBN-13
9780123814869
Description
Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets. The book is divided into three parts and begins with the basics: models, probability, Bayes’ rule, and the R programming language. The discussion then moves to the fundamentals applied to inferring a binomial probability, before concluding with chapters on the generalized linear model. Topics include metric-predicted variable on one or two groups; metric-predicted variable with one metric predictor; metric-predicted variable with multiple metric predictors; metric-predicted variable with one nominal predictor; and metric-predicted variable with multiple nominal predictors. The exercises found in the text have explicit purposes and guidelines for accomplishment. This book is intended for first-year graduate students or advanced undergraduates in statistics, data analysis, psychology, cognitive science, social sciences, clinical sciences, and consumer sciences in business. Accessible, including the basics of essential concepts of probability and random sampling Examples with R programming language and JAGS 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 JAGS computer programming code on website Exercises have explicit purposes and guidelines for accomplishment Provides step-by-step instructions on how to conduct Bayesian data analyses in the popular and free software R and WinBugs
Subjects
Statistical decision theory and Bayesian analysis
The Signal and the Noise
Statistical decision theory, foundations, concepts, and methods
Statistical decision theory with business and economic applications
The advanced theory of statistics
The Theory That Would Not Die
Frequently Asked Questions
How many pages are in Doing Bayesian Data Analysis?
This edition of Doing Bayesian Data Analysis has approximately 672 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Doing Bayesian Data Analysis?
For most readers, Doing Bayesian Data Analysis typically takes between 14h 0m and 9h 20m to complete. This is based on the book's length of approximately 168,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 11h 12m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 23 days • Estimated word count: 168,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Doing Bayesian Data Analysis?
The estimated word count for Doing Bayesian Data Analysis is approximately 168,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Doing Bayesian Data Analysis?
Doing Bayesian Data Analysis was written by John K. Kruschke.
When was Doing Bayesian Data Analysis published?
The publication date for this specific edition is 2010. The original work may have been published on a different date.