Introduction to Applied Bayesian Statistics and Estimation for Social Scientists
Author | : Scott M. Lynch |
Publisher | : Springer Science & Business Media |
Total Pages | : 376 |
Release | : 2007-06-30 |
ISBN-13 | : 9780387712659 |
ISBN-10 | : 0387712658 |
Rating | : 4/5 (58 Downloads) |
Download or read book Introduction to Applied Bayesian Statistics and Estimation for Social Scientists written by Scott M. Lynch and published by Springer Science & Business Media. This book was released on 2007-06-30 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.