num_pages: 387
description: 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.
language: English
title: Introduction to Applied Bayesian Statistics and Estimation for Social Scientists
titlecomplete: Introduction to Applied Bayesian Statistics and Estimation for Social Scientists (Statistics for Social and Behavioral Sciences)
ratings_count: 12
series: Statistics for Social and Behavioral Sciences
publisher: Springer