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

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	June 2021
Authors:	Todd E. Hudson
Dimensions:	252 x 202 x 30mm (L x W x T)
Format:	Paperback - Trade
Pages:	612
ISBN-13:	978-1-108-81290-0
Categories:	Books > Reference & Interdisciplinary > Communication studies > Data analysis Books > Reference & Interdisciplinary > Communication studies > Research methods Books > Science & Mathematics > Mathematics > Probability & statistics Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Social sciences > Psychology > Psychological methodology > General
LSN:	1-108-81290-2
Barcode:	9781108812900

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