Paperback in very good condition. Cover edges and corners are slightly bumped and rubbed, with a small crease to the rear lower corner. Covers are clean, binding is sound and content is as unread. LW.

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Detalles bibliogr�ficos

T�tulo

In All Likelihood: Statistical Modelling and Inference Using Likelihood

Editor

Oxford University Press, Oxford

Fecha de publicaci�n

2013

Idioma

Ingl�s

ISBN 10

0199671222

ISBN 13

9780199671229

Encuadernaci�n

Paperback

Estado

Very Good

Tipo de libro

Used

Cat�logos de vendedores

Mathematics/Accounting

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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.

Acerca del autor

Yudi Pawitan is a Professor in the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden

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