Author: R. J. M. M. DoesPublisher:
ISBN:
Category : Asymptotic expansions
Languages : en
Pages : 112
Book Description
Higher Order Asymptotics for Simple Linear Rank Statistics
Author: R. J. M. M. DoesPublisher:
ISBN:
Category : Asymptotic expansions
Languages : en
Pages : 112
Book Description
Higher Order Asymptotics
Author: J. K. GhoshPublisher: IMS
ISBN: 9780940600317
Category : Mathematics
Languages : en
Pages : 126
Book Description
Higher Order Asymptotics for Linear Rank Statistics
Author: R. J. M. M. DoesAsymptotic Theory of Testing Statistical Hypotheses
Author: Vladimir E. BeningPublisher: Walter de Gruyter
ISBN: 3110935996
Category : Mathematics
Languages : en
Pages : 305
Book Description
The series is devoted to the publication of high-level monographs and surveys which cover the whole spectrum of probability and statistics. The books of the series are addressed to both experts and advanced students.
Asymptotic Expansions for Simple Linear Rank Statistics Under Contiguous Alternatives
Author: Ronald J. M. M. DoesState of the Art in Probability and Statistics
Author: Mathisca de GunstPublisher: IMS
ISBN: 9780940600508
Category : Mathematics
Languages : en
Pages : 660
Book Description
Probability Theory and Extreme Value Theory
Author: Madan Lal PuriPublisher: Walter de Gruyter
ISBN: 3110917823
Category : Mathematics
Languages : en
Pages : 760
Book Description
Asymptotic Statistics
Author: A. W. van der VaartPublisher: Cambridge University Press
ISBN: 1107268443
Category : Mathematics
Languages : en
Pages :
Book Description
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.
The Asymptotic Behavior of Simple Linear Rank Statistics
Author: Ronald J. M. M. DoesAsymptotic Normality of Simple Linear Random Rank Statistics Under the Alternatives
Author: Janet Tolson EysterPublisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 144
Book Description