£97.00

Routledge Bayesian Multilevel Models for Repeated Measures Data

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Description

Master complex statistical methods with this comprehensive guide to multilevel Bayesian models. Published by Routledge, this book provides a practical introduction to using R, specifically focusing on the brms package and the Stan programming language. Designed for active learning, the text uses a series of fully worked analyses to help you understand repeated measures data. You will progress through increasingly complex models, starting from basic two-group comparisons and moving toward advanced multinomial regression models with multiple random effects. Across 13 well-structured chapters, the authors build your skills through direct application. This approach ensures you gain hands-on experience with the tools and techniques necessary for modern statistical modeling. Whether you are studying anthropology, sociology, or other social sciences, this book serves as a functional roadmap for handling repeated measures data in a Bayesian framework.

Key Features

Learn to implement multilevel Bayesian models using R, brms, and the Stan programming language for professional data analysis.

Build skills through active learning using a series of fully worked analyses that guide you through practical applications.

Progress from simple two-group comparisons to complex multinomial regression models with many random effects.

Follow 13 well-structured chapters that organize statistical concepts into a logical and manageable learning path.

Gain specialized knowledge in repeated measures data analysis through a curriculum focused entirely on this specific data type.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
18 May 2023
Listed Since
28 October 2022

Barcode

No barcode data available

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