Statistical Inference Based on the likelihood

Front Cover
CRC Press, Jun 1, 1996 - Mathematics - 352 pages
The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book introduces likelihood-based statistical theory and related methods from a classical viewpoint, and demonstrates how the main body of currently used statistical techniques can be generated from a few key concepts, in particular the likelihood.

Focusing on those methods, which have both a solid theoretical background and practical relevance, the author gives formal justification of the methods used and provides numerical examples with real data.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

Likelihood
17
Maximum likelihood estimation
51
Hypothesis testing
105
Linear models
163
Generalized linear models
223
Complements of probability theory
265
Main abbreviations and symbols
313
Essential bibliography
323
Author index
329
Copyright

Other editions - View all

Common terms and phrases

Bibliographic information