Likelihood and Its Extensions (Hardcover)
Language: English
Published by Taylor & Francis Inc, Portland, 2026
- Hardcover
- New

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Hardcover. 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, aiming to include a wide array of inference functions used in the current 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 senior undergraduate and graduate courses in 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 item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…
Seller Inventory # 9781498719742
- Title
- Likelihood and Its Extensions (Hardcover)
- Author
- Nancy Reid
- Publisher
- Taylor & Francis Inc, Portland
- Publication year
- 2026
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1498719740
- ISBN 13
- 9781498719742
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, aiming to include a wide array of inference functions used in the current 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 senior undergraduate and graduate courses in inference.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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