Bayesian Statistics
eBook - ePub

Bayesian Statistics

The Basics

  1. 204 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Bayesian Statistics

The Basics

About this book

Bayesian Statistics: The Basics provides a comprehensive yet accessible introduction to Bayesian statistics, specifically tailored for any researcher with an interest in statistical methods. It covers the theoretical foundations of Bayesian inference, contrasting it with classical statistical methods like null hypothesis significance testing. The book emphasizes key concepts such as prior and posterior distributions, Bayes' theorem, and the Bayes factor, making them understandable even for readers with minimal mathematical backgrounds.

Methodologically, the book offers practical, step-by-step guides on how to conduct Bayesian analyses using the free software package JASP. Each chapter focuses on applying Bayesian methods to common research designs with real-world data. Readers will benefit from the clear examples, visualizations, and JASP screenshots that ensure the learning experience is interactive and easy to follow.

Full of practical content, the book emphasizes the advantages of Bayesian model comparison over traditional approaches, especially in quantifying evidence for competing hypotheses. Readers will also learn how to perform sensitivity analyses to assess the impact of different prior assumptions on their results.

By the end of the book, readers will get both the theoretical understanding and practical skills to implement Bayesian methods in their own research, making it an invaluable resource for both novice and experienced researchers studying Bayesian statistics.

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Yes, you can access Bayesian Statistics by Thomas J. Faulkenberry in PDF and/or ePUB format, as well as other popular books in Mathematics & Research & Methodology in Psychology. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Endorsements
  3. Half Title
  4. Series
  5. Title
  6. Copyright
  7. Contents
  8. Preface
  9. 1 Review of basic concepts
  10. 2 The language of Bayesian statistics
  11. 3 Bayesian correlation
  12. 4 The Bayesian t-test
  13. 5 Bayesian analysis of variance
  14. 6 Bayesian linear regression
  15. 7 Next steps and further reading
  16. Glossary
  17. Answers to selected end-of-chapter exercises
  18. References
  19. Index