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 worked examples crafted specifically for students in the behavioral and neural sciences. The book presents two general algorithms that help students solve the measurement and model selection (also called "hypothesis testing") problems most frequently encountered in real-world applications.
| ISBN: | 9781108835565 |
| Publication date: | 24th June 2021 |
| Author: | Todd Erik Hudson |
| Publisher: | Cambridge University Press |
| Format: | Hardback |
| Pagination: | 612 pages |
| Genres: |
Social research and statistics Data science and analysis: general Research methods: general Probability and statistics |