1st Edition
Likelihood and Its Extensions
328 Pages
25 B/W Illustrations
by
Chapman & Hall
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... Read more
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
Biography
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.
