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Likelihood Methods in Statistics Hardcover English by Thomas a. Severini

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Overview
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PublisherOUP Oxford
ISBN 139780198506508
AuthorThomas a. Severini
Book FormatHardcover
LanguageEnglish
Book DescriptionThis 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.
Editorial ReviewThis 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 *
Number of Pages392

Likelihood Methods in Statistics Hardcover English by Thomas a. Severini

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