Likelihood and its Extensions
Product details
- ISBN 9781498719742
- Format: Hardback
- Dimensions: 178 x 254mm
- Publication Date: 28 Aug 2026
- Publisher: Taylor & Francis Inc
- Publication City/Country: Portland, US
- Product Form: Hardback
- Language: English
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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 has 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.
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.
