Code: 02784969

Doing Bayesian Data Analysis

Name: Doing Bayesian Data Analysis
Brand: Elsevier Science Publishing Co Inc
SKU: 02784969
Price: 400.32 PLN
Availability: InStock

by John Kruschke

Language: English
Binding: Hardback
Number of pages: 776
Publisher: Elsevier Science Publishing Co Inc, 2014
More about this

400.32 zł

Low in stock at our supplier
Shipping in 3 - 5 days

Potřebujete více kusů?Máte-li zájem o více kusů, prověřte, prosím, nejprve dostupnost titulu na naši zákaznické podpoře.

Add to wishlist

Atomic Habits
59.22 zł -26 %
Buy
Berserk Deluxe Volume 5
156.54 zł -30 %
Buy
Twisted Hate
36.76 zł -28 %
Buy
Shatter Me
30.51 zł -28 %
Buy
The Hobbit and the Lord of the Rings: Deluxe Pocket Boxed Set
244.08 zł -5 %
Buy
Court of Thorns and Roses Collector's Edition
137.50 zł -14 %
Buy
The Art of War
13.59 zł -13 %
Buy
The Bell Jar
43.41 zł -15 %
Buy
Crown of Gilded Bones
103.85 zł
Buy
Gone Girl
43.41 zł -15 %
Buy
Atlas Shrugged
33.64 zł -23 %
Buy
Games People Play
52.37 zł -15 %
Buy
Book Lovers
36.56 zł -26 %
Buy
Nausicaa of the Valley of the Wind Box Set
291.12 zł
Buy
Almond
44.11 zł -26 %
Buy
The Resurrectionist
105.76 zł -4 %
Buy
Jade Legacy
52.37 zł -15 %
Buy
Fleabag: The Scriptures
133.77 zł -4 %
Buy
Antifragile
50.46 zł -26 %
Buy
The Fourth Turning
77.26 zł -14 %
Buy
War and Peace
19.94 zł -23 %
Buy

Give this book as a present today

Order book and choose Gift Order.
We will send you book gift voucher at once. You can give it out to anyone.
Book will be send to donee, nothing more to care about.

Book gift voucher sample Read more

You get 233 loyalty points

Book synopsis

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 with R, JAGS, and Stan 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). Included are step-by-step instructions on how to conduct Bayesian data analyses in the popular and free software R and WinBugs. 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. Knowledge of algebra and basic calculus is a prerequisite. * 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.