£73.98

Springer - Applied Bayesian Statistics for Social Scientists

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Description

Master the complexities of Bayesian statistical analysis with this comprehensive guide from Springer. Designed specifically for social and behavioral sciences, this book walks you through the entire process of statistical inference, from initial model development to final results. This text focuses on the models most frequently used in social science research. You will learn to navigate linear regression, generalized linear models, hierarchical models, and multivariate regression models. Rather than just teaching theory, the book uses real-data examples developed in painstaking detail to ensure you understand how to apply these methods to actual research scenarios. Whether you are a student or a professional researcher, this resource provides the depth needed to handle sophisticated data analysis. It bridges the gap between complex mathematical concepts and practical application in social science disciplines, making it a vital addition to your academic library.

Key Features

Covers the full Bayesian statistical analysis process from model development through statistical inference.

Focuses on essential models for social science research including linear and multivariate regression.

Includes detailed instruction on generalized linear models and hierarchical models.

Provides real-data examples that are developed with painstaking detail for practical learning.

Tailored specifically for students and professionals in the social and behavioral sciences.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 July 2007
Listed Since
05 March 2007

Barcode

No barcode data available

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