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Likelihood Methods in Statistics

Thomas A Severini author

Format:Hardback

Publisher:Oxford University Press

Currently unavailable, and unfortunately no date known when it will be back

Likelihood Methods in Statistics cover

This book provides an introduction to the modern theory of likelihood-based statistical inference. This theory is characterized by several important features. One is the recognition that it is desirable to condition on relevant ancillary statistics. Another is that probability approximations are based on saddlepoint and closely related approximations that generally have very high accuracy. A third aspect is that, for models with nuisance parameters, inference is often based on marginal or conditional likelihoods, or approximations to these likelihoods. These methods have been shown often to yield substantial improvements over classical methods. The book also provides an up-to-date account of recent results in the field, which has been undergoing rapid development.

This book is an excellent account of likelihood-based statistical inference; I believe that it will be a very useful addition to any scholarly library. * Biometrics *

ISBN: 9780198506508

Dimensions: 237mm x 163mm x 28mm

Weight: 704g

392 pages