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Introduction to applied Bayesian statistics and estimation for social scientists PDF

375 Pages·2007·5.465 MB·English
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Preview Introduction to applied Bayesian statistics and estimation for social scientists

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.
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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.