In All Likelihood: Statistical Modelling and Inference Using Likelihood

by Yudi Pawitan

This book presents the role of likelihood in a whole range of statistical problems, from a simple comparison of two accident rates to complex studies requiring generalized linear or semiparametric modeling. The book emphasizes that the likelihood is not simply a device to produce an estimate, but more importantly it is a tool for modeling.

The book generally takes an informal approach, where most important results are established using heuristic arguments and motivated with realistic examples. With currently available computing power, examples are not contrived to allow a closed analytical solution, and the book concentrates on the statistical aspects of the data modelling. In addition to classical likelihood theory, the book covers many modern topics such as generalized linear models, generalized linear mixed models, nonparametric smoothing, robustness, EM algorithm and empirical likelihood.
--back cover

Genres: Mathematics

544 pages, Hardcover

First published June 21, 2001

Reviews

[B · Rating 5 out of 5]

Some stats textbooks just list facts, but Yudi is actively thinking about statistics and how we are to understand the concept of likelihood and probability. I learned heaps from this guy.

[Zhe Sha · Rating 3 out of 5]

Should have read this book earlier!