books

December 11, 2014

Bayesian Methods

A Social and Behavioral Sciences Approach, Third Edition
  • Review of the 3rd edition in The American Statistician
  • Corrected Index for the first print run.
  • Errata...
  • Page 49, line 3: "q.vals" should read "quant.vals" (thanks to Gary McDonald).
  • Page 74, 3rd line after equa. (3.10).  “the prior for” should read “the posterior for” (thanks to Gary McDonald).
  • Page 74, equa. (3.11).  “(6 + n\tilde{x})" should be "(6+n\tilde{x}/2)" (thanks to Gary McDonald.
  • Page 75: equation (3.15)  (thanks to Trish Van Zandt).
  • Page 76: equation (3.16)  (thanks to Trish Van Zandt).
  • Page 125, 1st line after (4.28).  "If it this is" should read "If this is".
  • Page 347, line -4.  “ratio” should read “product” (Thanks to Gary McDonald).
  •  Page 444: the last column of Table 12.5 should be
    1.4946   1.1109   1.1804   1.1216  -0.5815  -0.2404   0.2070  -0.0181   212.7248   1.8659   1.2062
  • Page 544: ``distribution!canonical'' should be ``canonical distribution''.
  • Page 544: equation 15.34 has an extra closing parenthesis in the second term.
  • Page 544: equation 15.36 has an extra closing parenthesis in the second term.
  • Answer Key to odd numbered exercises.
  • The updated BaM package for R is available here
  • A zip file with (nearly) all code and data in the book is here
  • writeDatafileR.R is here

November 26, 2007

Bayesian Methods

A Social and Behavioral Sciences Approach, Second Edition

The first edition of Bayesian Methods: A Social and Behavioral Sciences Approach helped pave the way for Bayesian approaches to become more prominent in social science methodology. While the focus remains on practical modeling and basic theory as well as on intuitive explanations and derivations without skipping steps, this second edition incorporates the latest methodology and recent changes in software offerings.

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May 4, 2002

Numerical Bayesian Methods: A Social and Behavioral Sciences Approach

"...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.

Code and Data for Bayesian Methods:  A Social and Behavioral Sciences Approach

August 7, 2000

Generalized Linear Models: A Unified Approach

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.