Description: Introduction to Applied Bayesian Statistics and Estimation for Social Scientists Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Scott M. Lynch Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781441924346, 978-1441924346 Synopsis 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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Location: Aldershot
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Book Title: Introduction to Applied Bayesian Statistics and Estimation for...
Number of Pages: 359 Pages
Language: English
Publication Name: Introduction to Applied Bayesian Statistics and Estimation for Social Scientists
Publisher: Springer-Verlag New York Inc.
Publication Year: 2010
Item Height: 235 mm
Item Weight: 593 g
Type: Textbook
Author: Scott M. Lynch
Subject Area: Human Biology, Social Research
Series: Statistics for Social and Behavioral Sciences
Item Width: 155 mm
Format: Paperback
