Bayesian Statistics - The Basics

Bayesian Statistics 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.

List of contents

Preface
1. Review of basic concepts
2. The language of Bayesian statistics
3. Bayesian correlation
4. The Bayesian t-test
5. Bayesian analysis of variance
6. Bayesian linear regression
7. Next steps and further reading
Glossary
Answers to selected end-of-chapter exercises
References

About the author

Thomas J. Faulkenberry, PhD, is a professor of psychological sciences and associate dean of the College of Graduate Studies at Tarleton State University in Stephenville, TX (USA). A mathematician by training, he teaches courses on statistics and mathematical modeling in the behavioral sciences, and his primary research areas are mathematical cognition and Bayesian statistics.

Product details

• Authors: Thomas J. Faulkenberry
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 30.04.2025
• EAN: 9781032744001
• ISBN: 978-1-0-3274400-1
• No. of pages: 160
• Series: The Basics
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Social sciences, law, business > Sociology > Sociological theories; Sociology, SOCIAL SCIENCE / Research, PSYCHOLOGY / Research & Methodology, MATHEMATICS / Probability & Statistics / Bayesian Analysis, Psychological methodology, Research methods: general, Research methods / methodology