

How to order this book from Cambridge University Press.
Statistical Models was published by Cambridge University Press in June 2003.
The book is written by Anthony Davison, Professor of Statistics at the Swiss Federal Institute of Technology, Lausanne.
A file of the table of contents, Preface, Chapter 1, and the start of Chapter 2 is available here (PDF). Here are errata.
Questions or comments regarding the book should be addressed to Anthony.Davison@epfl.ch
Here are the practicals,
and here is the R library (tar file) and (zip
file) to go with them (with thanks to Alessandra Brazzale and Diego Kuonen). For more details about
R, including how to download and install it and the many R libraries kindly
written by generous souls, see
this link.
Models and likelihood are the backbone of modern statistics. This
book gives an integrated development of these topics that blends theory
and practice, intended for advanced undergraduate and graduate students,
researchers and practicioners. Its breadth is unrivalled, with sections
on survival analysis, missing data, Markov chains, Markov random fields,
point processes, graphical models, simulation and Markov chain Monte Carlo,
estimating functions, asymptotic approximations, local likelihood and spline
regressions as well as on more standard topics such as likelihood and linear
and generalized linear models.
Each chapter contains a wide range of problems and exercises. Practicals
in the S language designed to build computing and data analysis skills, and
a library of data sets to accompany the book,
are available over the web.
1. Introduction
