Likelihood Methods in Statistics
Format:Hardback
Publisher:Oxford University Press
Currently unavailable, and unfortunately no date known when it will be back
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