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Bayesian Statistics

The Basics

Medium: Buch
ISBN: 978-1-032-74400-1
Verlag: Taylor & Francis Ltd
Erscheinungstermin: 29.04.2025
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9781032744001
  • Medium: Buch
  • ISBN: 978-1-032-74400-1
  • Verlag: Taylor & Francis Ltd
  • Erscheinungstermin: 29.04.2025
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2025
  • Serie: The Basics
  • Produktform: Kartoniert
  • Gewicht: 192 g
  • Seiten: 170
  • Format (B x H x T): 128 x 197 x 13 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

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