In All Likelihood: Statistical Modelling and Inference Using Likelihood

Yudi Pawitan

ISBN 10: 0199671222 / ISBN 13: 9780199671229

Editore: Oxford University Press, 2013

New copy - Usually dispatched within 4 working days. 910. Codice articolo B9780199671229

Riassunto:

Based on a course in the theory of statistics this text concentrates on what can be achieved using the likelihood/Fisherian method of taking account of uncertainty when studying a statistical problem. It takes the concept ot the likelihood as providing the best methods for unifying the demands of statistical modelling and the theory of inference. Every likelihood concept is illustrated by realistic examples, which are not compromised by computational problems. Examples range from a simile comparison of two accident rates, to complex studies that require generalised linear or semiparametric modelling.

The emphasis is that the likelihood is not simply a device to produce an estimate, but an important tool for modelling. The book generally takes an informal approach, where most important results are established using heuristic arguments and motivated with realistic examples. With the currently available computing power, examples are not contrived to allow a closed analytical solution, and the book can concentrate 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 and mixed models, non parametric smoothing, robustness, the Em algorithm and empirical likelihood.

Informazioni sull?autore: Yudi Pawitan is a Professor in the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden

Dati bibliografici

Titolo: In All Likelihood: Statistical Modelling and...
Casa editrice: Oxford University Press
Data di pubblicazione: 2013
Legatura: Paperback / softback
Condizione: New