Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

Introduction to Applied Bayesian Statistics and Estimation for Social Scientists
Author :
Publisher : Springer Science & Business Media
Total Pages : 376
Release :
ISBN-13 : 9780387712659
ISBN-10 : 0387712658
Rating : 4/5 (58 Downloads)

Book Synopsis Introduction to Applied Bayesian Statistics and Estimation for Social Scientists by : Scott M. Lynch

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.


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