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Asymptotic Statistics 2 Proceedings of the Prague Symposium on Asymptotic Physics, 3rd, Aug. 29-Sept. 2, 1983

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  • 22 Currently reading

Published by Elsevier Science Publishing Company .
Written in English

Subjects:

  • General,
  • Probability & statistics,
  • Mathematics

Book details:

Edition Notes

ContributionsP. Mandl (Editor), M. Huskova (Editor)
The Physical Object
FormatHardcover
Number of Pages462
ID Numbers
Open LibraryOL9447930M
ISBN 100444875255
ISBN 109780444875259

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This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and rank procedures, the book also presents recent research topics such as semiparametric models, the Author: A. W. van der Vaart. Jun 19,  · This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and rank procedures, the book also presents recent research topics such as semiparametric models, the 5/5(2). This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and rank procedures, the book presents recent research topics such as/5. asymptotic statistics Download asymptotic statistics or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get asymptotic statistics book now. This site is like a library, Use search box in the widget to get ebook that you want.

"This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, asymptotic efficiency, U-statistics, and rank procedures, the book also presents recent research topics such as semiparametric models, the bootstrap. Mar 17,  · An asymptotic treatment of bootstrap is contained in the book Beran and Ducharme (). A detailed analysis of bootstrap based on higher order Edgeworth expansions has been carried out in the book Hall (). This book is an introduction to the field of asymptotic statistics. The treatment is mathematically rigorous but practical rather than simply technical. The topics are organized from the central idea of approximation by limit experiments, which gives the book one of its unifying themes. Here is a practical and mathematically rigorous introduction to the field of asymptotic statistics. In addition to most of the standard topics of an asymptotics course--likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and rank procedures--the book also presents recent research topics such as semiparametric models, the bootstrap, and empirical processes and.

cyrusofficial.com: Asymptotic Statistics (Cambridge Series in Statistical and Probabilistic Mathematics) () by Van Der Vaart, A. W. and a great selection of similar New, Used and Collectible Books available now at great prices/5(25). In mathematical analysis, asymptotic analysis, also known as asymptotics, is a method of describing limiting behavior. As an illustration, suppose that we are interested in the properties of a function f(n) as n becomes very large. If f(n) = n 2 + 3n, then as n becomes very large, the term 3n becomes insignificant compared to n 2. Jun 19,  · Asymptotic Statistics [A. W. van der Vaart] on cyrusofficial.com *FREE* shipping on eligible orders. This book is an introduction to the field of asymptotic statistics. The treatment is both practical and mathematically rigorous. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency, U-statistics, and /5(10). Can anyone suggest me some good reference books on Asymptotic Theory of Statistics and Probability for students pursuing a post-graduate degree in Statistics?. It would be very much helpful if the stated reference book(s) contained enough solved problems on the afore-mentioned topic, so as to get a good hold on the topic.