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Bayesian Methods in Statistics : From Concepts to Practice by Mel Slater (2022, Trade Paperback)
Rarewaves (679125)
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About this product
Product Identifiers
PublisherSAGE Publications, The Limited
ISBN-101529768608
ISBN-139781529768602
eBay Product ID (ePID)8050095864
Product Key Features
Number of Pages272 Pages
Publication NameBayesian Methods in Statistics : from concepts to Practice
LanguageEnglish
Publication Year2022
SubjectMethodology, General, Statistics, Probability & Statistics / Bayesian Analysis
TypeTextbook
Subject AreaMathematics, Social Science
AuthorMel Slater
FormatTrade Paperback
Dimensions
Item Height0.9 in
Item Weight30 Oz
Item Length9.8 in
Item Width7.9 in
Additional Product Features
Intended AudienceCollege Audience
LCCN2021-937241
ReviewsA concise and engaging introduction to Bayesian statistics for newcomers in the social sciences, using real world data to highlight these powerful methods of statistical inference., A concise and engaging introduction to Bayesian statistics for newcomers in the social sciences, using real world data to highlight these powerful methods of statistical inference. -- Alex Jones
Dewey Edition23
IllustratedYes
Dewey Decimal519.5/42
Table Of ContentChapter 1: ProbabilityChapter 2: Probability distributionsChapter 3: Models and inferenceChapter 4: Relationships between variablesChapter 5: General modelsChapter 6: Questionnaires and non-quantitative responsesChapter 7: Multiple issues
SynopsisThis book walks you through learning probability and statistics from a Bayesian point of view. From an introduction to probability theory through to frameworks for doing rigorous calculations of probability, it discusses Bayes' Theorem before illustrating how to use it in a variety of different situations with data addressing social and psychological issues. The book also: Equips you with coding skills in the statistical modelling language Stan and programming language R. Discusses how Bayesian approaches to statistics compare to classical approaches. Introduces Markov Chain Monte Carlo methods for doing Bayesian statistics through computer simulations, so you understand how Bayesian solutions are implemented. Features include an introduction to each chapter and a chapter summary to help you check your learning. All the examples and data used in the book are also available in the online resources so you can practice at your own pace. For readers with some understanding of basic mathematical functions and notation, this book will get you up and running so you can do Bayesian statistics with confidence., This book gets you up and running with doing complex Bayesian statistics, focussing on applied analysis rather than maths.
LC Classification NumberQA279.5
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