Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

Gebonden Engels 2007 2007e druk 9780387712642
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Samenvatting

This book outlines Bayesian statistical analysis in great detail, from the development of a model through the process of making statistical inference. The key feature of this book is that it covers models that are most commonly used in social science research - including the linear regression model, generalized linear models, hierarchical models, and multivariate regression models - and it thoroughly develops each real-data example in painstaking detail.

Specificaties

ISBN13:9780387712642
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:359
Uitgever:Springer New York
Druk:2007

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Inhoudsopgave

Probability Theory and Classical Statistics.- Basics of Bayesian Statistics.- Modern Model Estimation Part 1: Gibbs Sampling.- Modern Model Estimation Part 2: Metroplis–Hastings Sampling.- Evaluating Markov Chain Monte Carlo Algorithms and Model Fit.- The Linear Regression Model.- Generalized Linear Models.- to Hierarchical Models.- to Multivariate Regression Models.- Conclusion.

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€ 192,99
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        Introduction to Applied Bayesian Statistics and Estimation for Social Scientists