Elements of Distribution Theory by Thomas A. Severini
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Elements of Distribution Theory
By Thomas A. Severini

Elements of Distribution Theory

By (author) See other recent books by Thomas A. Severini
Series edited by R. Gill See other recent books by R. Gill See other recent books by Brian D. Ripley
Format: Hardback

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Elements of Distribution Theory by Thomas A. Severini

Book Description

This detailed introduction to distribution theory uses no measure theory, making it suitable for students in statistics and econometrics as well as for researchers who use statistical methods. Good backgrounds in calculus and linear algebra are important and a course in elementary mathematical analysis is useful, but not required. An appendix gives a detailed summary of the mathematical definitions and results that are used in the book. Topics covered range from the basic distribution and density functions, expectation, conditioning, characteristic functions, cumulants, convergence in distribution and the central limit theorem to more advanced concepts such as exchangeability, models with a group structure, asymptotic approximations to integrals, orthogonal polynomials and saddlepoint approximations. The emphasis is on topics useful in understanding statistical methodology; thus, parametric statistical models and the distribution theory associated with the normal distribution are covered comprehensively.

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Book Details

ISBN: 9780521844727
ISBN-10: 052184472X
Format: Hardback
(253mm x 177mm x 29mm)
Pages: 528
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 8-Aug-2005
Country of Publication: United Kingdom

Other Editions...


Books By Author Thomas A. Severini

Elements of Distribution Theory by Thomas A. Severini Elements of Distribution Theory, Paperback (October 2011)

This introduction to distribution theory uses no measure theory, making it suitable for students in statistics and econometrics and researchers using statistical methods.

Likelihood Methods in Statistics by Thomas A. Severini Likelihood Methods in Statistics, Hardback (November 2000)

Likelihood methods play a central role in statistical theory and methodology. Recently, a new approach to likelihood inference has been developed that often leads to substantial improvements over classical methods. This book gives a detailed introduction to this modern theory of likelihood methods.

» View all books by Thomas A. Severini

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Author Biography - Thomas A. Severini

Thomas A. Severini received his PhD in Statistics from the University of Chicago. He is now a Professor of Statistics at Northwestern University. He has also written Likelihood Methods in Statistics. He has published extensively in statistical journals such as Biometrika, the Journal of the American Statistical Association and the Journal of the Royal Statistical Society. He is a member of the Institute of Mathematical Statistics and the American Statistical Association.

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