Introduction to Applied Bayesian Statistics and Estimation for Social Scientists
Download or Read eBook Introduction to Applied Bayesian Statistics and Estimation for Social Scientists PDF 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.
Author | : Scott M. Lynch |
Publisher | : Springer Science & Business Media |
Total Pages | : 376 |
Release | : 2007-06-30 |
ISBN-10 | : 9780387712659 |
ISBN-13 | : 0387712658 |
Rating | : 4/5 (59 Downloads) |
Book Synopsis Introduction to Applied Bayesian Statistics and Estimation for Social Scientists by : Scott M. Lynch
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.