Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

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.

Publication Year: 2007
Imprint: Springer New York
Format: H
Weight (Gram): 1590