Generalized Linear Models: A Unified Approach

Author:   Jefferson M. Gill ,  Silvia Michelle Torres Pacheco
Publisher:   SAGE Publications Inc
Edition:   2nd Revised edition
Volume:   134
ISBN:  

9781506387345


Pages:   176
Publication Date:   11 July 2019
Format:   Paperback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Generalized Linear Models: A Unified Approach


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Author:   Jefferson M. Gill ,  Silvia Michelle Torres Pacheco
Publisher:   SAGE Publications Inc
Imprint:   SAGE Publications Inc
Edition:   2nd Revised edition
Volume:   134
Weight:   0.230kg
ISBN:  

9781506387345


ISBN 10:   1506387349
Pages:   176
Publication Date:   11 July 2019
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Jeff Gill is a Distinguished Professor of Government, a Professor of Statistics, and a Member of the Center for Behavioral Neuroscience at American University. His research applies Bayesian modeling and data analysis (decision theory, testing, model selection, elicited priors) to questions in general social science quantitative methodology, political behavior and institutions, medical/health data analysis especially physiology, circulation/blood, pediatric traumatic brain injury, and epidemiological measurement/data issues, using computationally intensive tools (Monte Carlo methods, MCMC, stochastic optimization, nonparametrics). Michelle Torres is Assistant professor in the Department of Political Science at Rice University. She holds a PhD in Political Science and a AM in Statistics from Washington University in St. Louis. Her research interests are in the fields of political methodology, with a special focus on survey methodology, computer vision, causal inference, public opinion, and political communication.

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