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.
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