
Likelihood and Its Extensions
Chapman & Hall/CRC (Publisher)
Will be published approx. on 23. July 2026
328 pages
E-Book
978-1-4987-1975-9 (ISBN)
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Likelihood serves as a unifying concept in both the theory and practice of statistical science. This is, in a sense, inevitable when probability models are used as a basis for inference. While the key ideas were set out in Fisher in 1922, and further developed throughout the 1930s and 40s, it was the ubiquity of the personal computer and the development of general-purpose software that made likelihood-based inference the method of choice in a wide variety of applications.
This book provides an overview of the many "adjective"-likelihood functions that have been developed in various contexts, most of the likelihood-type inference functions current in the literature, while recognizing that a comprehensive treatment is not possible, as research on likelihood-based inference continues.
This book is intended for readers with diverse backgrounds who have an interest in, or a need for, statistical methods in complex models. Some familiarity with likelihood-based inference and the main principles of estimation and hypothesis testing are assumed. The authors have used this text for graduate-level courses in inference and in specialized courses in likelihood-based inference.
This book provides an overview of the many "adjective"-likelihood functions that have been developed in various contexts, most of the likelihood-type inference functions current in the literature, while recognizing that a comprehensive treatment is not possible, as research on likelihood-based inference continues.
This book is intended for readers with diverse backgrounds who have an interest in, or a need for, statistical methods in complex models. Some familiarity with likelihood-based inference and the main principles of estimation and hypothesis testing are assumed. The authors have used this text for graduate-level courses in inference and in specialized courses in likelihood-based inference.
More details
Series
Language
English
Place of publication
Philadelphia, PA
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Illustrations
25 Line drawings, black and white; 25 Illustrations, black and white
ISBN-13
978-1-4987-1975-9 (9781498719759)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Nancy Reid | Cristiano Varin | Grace Y. Yi
Likelihood and Its Extensions
Book
approx. 07/2026
1st Edition
Chapman & Hall/CRC
€113.50
Not yet published
Persons
Nancy Reid is University Professor Emeritus of Statistical Sciences at the University of Toronto.
Cristiano Varin is Professor of Statistics at Ca' Foscari University of Venice.
Grace Yi is Professor and Canada Research Chair in Data Science at the University of Western Ontario.
Cristiano Varin is Professor of Statistics at Ca' Foscari University of Venice.
Grace Yi is Professor and Canada Research Chair in Data Science at the University of Western Ontario.
Content
Preface 1 Likelihood 2 Likelihood and Nuisance Parameters 3 Likelihood for Complex Models 4 Likelihood Inference in Misspecified Models 5 Quasi-likelihood and Estimating Functions 6 Nonparametric Likelihood 7 Regularized Likelihood Index List of Authors
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