Books and other Monographs

TBD Bayesian Methods:  A Social and Behavioral Sciences Approach, Third Edition. Jeff Gill, 2014,  CRC Press 
Bayes Bayesian Methods:  A Social and Behavioral Sciences Approach, Second Edition. Jeff Gill, 2008,  CRC Press 
Numerical Essential Mathematics for Political and Social Research, Jeff Gill, April 2006, Cambridge University Press.    Manuscript Contents Listing and Preface: PDF, Errata, Answers to odd-numbered exercises.

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

See also the review in JASA, June 2005. Software Resources, Table of Contents and Two Sample Chapters, Technometrics Review, ACM Review, SciTech Book News Review, Choice Review, Computational Statistics and Data Analysis Review, Journal of Statistical Software Review, Statistical Methods in Medical Research Review, Journal of Statistical Computation and Simulation Review, Corrigenda.

Numerical Bayesian Methods:  A Social and Behavioral Sciences Approach. Jeff Gill, 2002 CRC Press.

"...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.

Generalized Linear Models:  A Unified Approach Jeff Gill, 2000, SAGE QASS series.   Book Cover.
->Purchase Online.
->Datasets from the book: Capital Punishment Scottish Vote,  Educational Testing,   World Copper Prices.  Committee Bill Assignments.
-> Incomplete Beta Function Table (Replication from Cox and Snell, 1968).
-> S-Plus/R code for the examples.
-> The Handout from my American Statistical Association (Boston chapter) Workshop. Contains lots of S-Plus/R code for GLMs.
-> Data from the Workshop (useful for running the examples).
-> Pat Altham's Homepage (several useful guides to GLMs in S-Plus and R).
-> Page for the Venables and Ripley book (includes GLM functions/code).
-> SAS whitepapers, including fitting GLMs in SAS.
-> Stata Help for GLMs.
-> GLMLAB: A Generalized Linear Model Package for MATLAB by Peter Dunn at the Department of Mathematics and Computing, University of Southern Queensland (Australia).
-> Jim Lindsay's GLIM Code from the examples in his books.
-> SAS Procs for running the book examples..
What Works, A New Approach to Program and Policy Analysis.  Jeff Gill and Kenneth Meier 2000 Westview Press.  Code and datasets from the book:  S-Plus/R code, Child Support, Texas Schools, 1854 "Lunatics", Murder Rates and Pooled Texas Data.