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In All Likelihood: Statistical Modelling and Inference Using Likelihood

Yudi Pawitan, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden, yudi.pawitan@ki.se
Format
Book
Published
Oxford : Oxford University Press, 2013.
Edition
Paperback edition
Language
English
ISBN
9780199671229, 0199671222, 9780198507659 (hbk.), 0198507658 (hbk.)
Summary
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 of 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 semi parametric 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.
Description
xiii, 528 pages : illustrations ; 24 cm
Notes
  • Corrected reprint of: In all likelihood : statistical modelling and inference using likelihood / Yudi Pawitan, University College Cork, National University of Ireland, Cork, Ireland, yudi@stat.ucc.ie. -- Oxford : Clarendon Press, 2001.
  • Includes bibliographical references (pages 503-514) and index.
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