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Bayesian Data Analysis for the Behavioral and Neural Sciences Non-Calculus Fundamentals

Authors

Todd E. Hudson
, New York University
Published 2021

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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