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Likelihood Methods in Statistics

Language EnglishEnglish
Book Hardback
Book Likelihood Methods in Statistics Severini
Libristo code: 02656345
Publishers Oxford University Press, November 2000
This book provides an introduction to the modern theory of likelihood-based statistical inference.... Full description
? points 445 b
65 205 Ft
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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.

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About the book

Full name Likelihood Methods in Statistics
Author Severini, Thomas A. (Department of Statistics, Northwestern University Evanston, Illinois)
Language English
Binding Book - Hardback
Date of issue 2000
Number of pages 392
EAN 9780198506508
ISBN 0198506503
Libristo code 02656345
Publishers Oxford University Press
Weight 720
Dimensions 162 x 240 x 29

Categories

Mathematics & Science > Mathematics > Probability & statistics
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