Multivariate Statistical Modelling Based on Generalized Linear Models

1. Introduction.- 2. Modelling and Analysis of Cross-Sectional Data: A Review of Univariate Generalized Linear Models.- 3. Models for Multicategorical Responses: Multivariate Extensions of Generalized Linear Models.- 4. Selecting and Checking Models.- 5. Semi- and Nonparametric Approaches to Regression Analysis.- 6. Fixed Parameter Models for Time Series and Longitudinal Data.- 7. Random Effects Models.- 8. State Space and Hidden Markov Models.- 9. Survival Models.- A..- A.1 Exponential Families and Generalized Linear Models.- A.2 Basic Ideas for Asymptotics.- A.3 EM Algorithm.- A.4 Numerical Integration.- A.5 Monte Carlo Methods.- B. Software for Fitting Generalized Linear Models and Extensions.- Author Index.

From the reviews of the second edition:

TECHNOMETRICS

"A 25% size increase in a very generous effort for a new edition of a statistics book. If you own and like the 1E, then a purchase of the 2E would certainly seem appropriate. Anyone who deals with multivariate modeling should certainly purchase a copy. This book does not have a competitor for analyzing multivariate data with generalized linear models."

"The authors obviously put a great deal of work into this book ... . There are nearly 40 examples ... drawn from a variety of fields, extensively worked, and then reworked in succeeding chapters. ... The vast amount of material is accurately presented ... and laid out in an orderly and clear manner. ... I conclude by endorsing this book whole-heartedly. Fahrmeir and Tutz have given the statistics community a wonderful resource for both teaching and reference." (Rick Chappell, Journal of the American Statistical Association, Vol. 98 (463), 2003)

"The 6 page subject index, the author index, the bibliography (updated considerably), and the nice LaTeX layout highlight the top quality we have come to expect from these authors and this publisher. ... Statisticians everywhere will want to consult 'Multivariate Modelling', when confronted with multivariate data. Many scientists from the fields where examples originated will do so, too, and demand the application of the new and sophisticated procedures as described in the second edition. ... Recommendation: buy." (Reinhard Vonthein, Metrika, December, 2003)

"This is an excellent book. Given the activity in the field, it substantially updates the material that is contained in the first edition and contains over 700 references. As well as providing references to work that is contained in the book, it makes ample suggestions for further reading of closely related topics. The result is a comprehensive book which provides an authoritative coverage of the subject area. ... This