In All Likelihood: Statistical Modelling and Inference Using Likelihood - Tapa dura

Pawitan, Yudi

 
9780198507659: In All Likelihood: Statistical Modelling and Inference Using Likelihood
Tapa dura
ISBN 10: 0198507658 ISBN 13: 9780198507659
Editorial: OUP Oxford, 2001

Sinopsis

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.

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Editorial
OUP Oxford
Año de publicación
2001
Idioma
Inglés
ISBN 10 
0198507658
ISBN 13 
9780198507659
Encuadernación
Tapa dura
Número de páginas
544
Contacto del fabricante
no disponible
Persona responsable
Ufficio Anagrafiche Messaggerie
ufficio.anagrafiche@meli.it

Via Verdi, 8
Assago Milano
20090
Italia

Otras ediciones populares con el mismo título

9780199671229: In All Likelihood: Statistical Modelling And Inference Using Likelihood

Edición Destacada

ISBN 10:  0199671222 ISBN 13:  9780199671229
Editorial: Oxford University Press, Usa, 2013
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