Solutions Manual of Likelihood Methods in Statistics by Severini | 1st edition

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Download Solutions Manual of Likelihood Methods in Statistics 1st Edition by Thomas A. Severini in PDF format. This book is under the category Mathematics and bearing the ISBN13/ISBN10 9780198506508 . You may refer the table below for additional details of the book.

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Book Details

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 provide an up-to-date account of recent results in the field, which has been undergoing rapid development.

About the Author

Thomas A. Severini is a professor of statistics at Northwestern University. He is a fellow of the American Statistical Association and the author of Likelihood Methods in Statistics and Elements of Distribution Theory. He received his PhD in statistics from the University of Chicago. His research areas include likelihood inference, nonparametric and semiparametric methods, and applications to econometrics.

Solutions Manual of Likelihood Methods in Statistics by Severini | 1st edition ISBN 9780198506508

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Book Details

Solutions Manual of Likelihood Methods in Statistics by Severini

AuthorsThomas A. Severini
Edition1st
ISBN(Text Book’s)9780198506508
LanguageEnglish
File FormatPDF
CategoryMathematics
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