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  • 1
    Online-Ressource
    Online-Ressource
    Cambridge :Cambridge University Press,
    UID:
    almahu_9948233799002882
    Umfang: 1 online resource (xv, 443 pages) : , digital, PDF file(s).
    ISBN: 9780511802256 (ebook)
    Serie: Cambridge series on statistical and probabilistic mathematics ; 3
    Inhalt: 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 bootstrap, and empirical processes and their applications. The topics are organized from the central idea of approximation by limit experiments, which gives the book one of its unifying themes. This entails mainly the local approximation of the classical i.i.d. set up with smooth parameters by location experiments involving a single, normally distributed observation. Thus, even the standard subjects of asymptotic statistics are presented in a novel way. Suitable as a graduate or Master's level statistics text, this book will also give researchers an overview of research in asymptotic statistics.
    Anmerkung: Title from publisher's bibliographic system (viewed on 08 Oct 2015).
    Weitere Ausg.: Print version: ISBN 9780521496032
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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