Publications by Type: Book


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Gill, Jeff, and Michelle Torres. Generalized Linear Models: A Unified Approach. Second Ed, Thousand Oaks, CA: Sage, 2019.


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Gill, Jeff, Micah Altman, and Michael McDonald. Numerical Issues in Statistical Computing for the Social Scientist, John Wiley & Sons, 2003.


"A compact guide to the voluminous literature on optimisation, numerical analysis, and computational statistics. This is no small achievement." - Statistical Software Newsletter in Computational Statistics and Data Analysis.

"…an excellent text. It has the potential to be enormously influential across the social sciences…It should be required reading for everyone who performs statistical computing at the advanced level…" - Journal of the American Statistical Association, June 2005

Other reviews: Technometrics ReviewACM ReviewSciTech Book News ReviewChoice Review, Computational Statistics and Data Analysis Review, Journal of Statistical Software ReviewStatistical Methods in Medical Research ReviewJournal of Statistical Computation and Simulation Review.


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"...easily the most comprehensive, scholarly, and thoughtful book the subject... it will do much to promote the use of Bayesian methods." -David Blackwell, University of California, Berkeley.

"A surprisingly thorough review written by a user of Bayesian statistics, with applications drawn from the social sciences." -Persi Diaconis, Stanford University.

"This book is a brilliant and importantly very accessible introduction to the concept and application of Bayesian approaches to data analysis. The clear strength of the book is in making the concept practical and accessible, without necessarily dumbing it down. It therefore retains the richness and complexity of this approach. The coverage is also remarkable, especially discussing this approach in the context of hierarchical linear models." -S V Subramanian, Harvard University.


Gill, Jeff. Generalized Linear Models: A Unified Approach, SAGE QASS series, 2000.