Bayesian Data Analysis for the Behavioral and Neural Sciences Non-Calculus Fundamentals
- Textbook
Description
This textbook bypasses the need for advanced mathematics by providing in-text computer code, allowing students to explore Bayesian data analysis without the calculus background normally considered a prerequisite for this material. Now, students can use the best methods without needing advanced mathematical techniques. This approach goes beyond “frequentist” concepts of p-values and null hypothesis testing, using the full power of modern probability theory to solve real-world problems. The book offers a fully self-contained course, which demonstrates analysis techniques throughout with…
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Key features
- Presents Bayesian statistics from a non-calculus perspective
- Provides in-text computer code to bypass the need for advanced mathematics and coaches students through writing basic computer code to implement their data analyses
- Shows students how to think through the steps necessary to tailor their analysis to any experimental scenario
- Focuses on worked examples from the behavioral and neural sciences to explain the theory
About the book
- DOI https://doi.org/10.1017/9781108890984
- Subjects Psychology,Psychology: General Interest
- Format: Hardback
- Publication date: 26 August 2021
- ISBN: 9781108835565
- Dimensions (mm): 253 x 203 mm
- Weight: 1.56kg
- Page extent: 612 pages
- Availability: Available
- Format: Paperback
- Publication date: 26 August 2021
- ISBN: 9781108812900
- Dimensions (mm): 253 x 203 mm
- Weight: 1.44kg
- Page extent: 612 pages
- Availability: In stock
- Format: Digital
- Publication date: 30 September 2021
- ISBN: 9781108890984
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