Empirical Processes With Applications To Statistics
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Empirical Processes With Applications To Statistics
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Author : Galen R. Shorack
language : en
Publisher: SIAM
Release Date : 2009-09-24
Empirical Processes With Applications To Statistics written by Galen R. Shorack and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-24 with Mathematics categories.
Originally published in 1986, this valuable reference provides a detailed treatment of limit theorems and inequalities for empirical processes of real-valued random variables. It also includes applications of the theory to censored data, spacings, rank statistics, quantiles, and many functionals of empirical processes, including a treatment of bootstrap methods, and a summary of inequalities that are useful for proving limit theorems. At the end of the Errata section, the authors have supplied references to solutions for 11 of the 19 Open Questions provided in the book's original edition.
Empirical Processes
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Author : David Pollard
language : en
Publisher: IMS
Release Date : 1990
Empirical Processes written by David Pollard and has been published by IMS this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Distribution (Probability theory). categories.
Empirical Processes In M Estimation
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Author : Sara A. Geer
language : en
Publisher: Cambridge University Press
Release Date : 2000-01-28
Empirical Processes In M Estimation written by Sara A. Geer and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01-28 with Business & Economics categories.
Advanced text; estimation methods in statistics, e.g. least squares; lots of examples; minimal abstraction.
Empirical Process Techniques For Dependent Data
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Author : Herold Dehling
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Empirical Process Techniques For Dependent Data written by Herold Dehling and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
Empirical process techniques for independent data have been used for many years in statistics and probability theory. These techniques have proved very useful for studying asymptotic properties of parametric as well as non-parametric statistical procedures. Recently, the need to model the dependence structure in data sets from many different subject areas such as finance, insurance, and telecommunications has led to new developments concerning the empirical distribution function and the empirical process for dependent, mostly stationary sequences. This work gives an introduction to this new theory of empirical process techniques, which has so far been scattered in the statistical and probabilistic literature, and surveys the most recent developments in various related fields. Key features: A thorough and comprehensive introduction to the existing theory of empirical process techniques for dependent data * Accessible surveys by leading experts of the most recent developments in various related fields * Examines empirical process techniques for dependent data, useful for studying parametric and non-parametric statistical procedures * Comprehensive bibliographies * An overview of applications in various fields related to empirical processes: e.g., spectral analysis of time-series, the bootstrap for stationary sequences, extreme value theory, and the empirical process for mixing dependent observations, including the case of strong dependence. To date this book is the only comprehensive treatment of the topic in book literature. It is an ideal introductory text that will serve as a reference or resource for classroom use in the areas of statistics, time-series analysis, extreme value theory, point process theory, and applied probability theory. Contributors: P. Ango Nze, M.A. Arcones, I. Berkes, R. Dahlhaus, J. Dedecker, H.G. Dehling,
Weak Convergence And Empirical Processes
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Author : Aad van der vaart
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Weak Convergence And Empirical Processes written by Aad van der vaart and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Mathematics categories.
This book explores weak convergence theory and empirical processes and their applications to many applications in statistics. Part one reviews stochastic convergence in its various forms. Part two offers the theory of empirical processes in a form accessible to statisticians and probabilists. Part three covers a range of topics demonstrating the applicability of the theory to key questions such as measures of goodness of fit and the bootstrap.
Lectures On Empirical Processes
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Author : Eustasio Del Barrio
language : en
Publisher: Transaction Publishers
Release Date : 2007
Lectures On Empirical Processes written by Eustasio Del Barrio and has been published by Transaction Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Mathematics categories.
Introduction To Empirical Processes And Semiparametric Inference
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Author : Michael R. Kosorok
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-29
Introduction To Empirical Processes And Semiparametric Inference written by Michael R. Kosorok and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-29 with Mathematics categories.
Kosorok’s brilliant text provides a self-contained introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods of statistical inference for complex models and in understanding the properties of such methods. This is an authoritative text that covers all the bases, and also a friendly and gradual introduction to the area. The book can be used as research reference and textbook.
Convergence Of Stochastic Processes
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Author : D. Pollard
language : en
Publisher: David Pollard
Release Date : 1984-10-08
Convergence Of Stochastic Processes written by D. Pollard and has been published by David Pollard this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984-10-08 with Mathematics categories.
Functionals on stochastic processes; Uniform convergence of empirical measures; Convergence in distribution in euclidean spaces; Convergence in distribution in metric spaces; The uniform metric on space of cadlag functions; The skorohod metric on D [0, oo); Central limit teorems; Martingales.
Principles Of Nonparametric Learning
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Author : Laszlo Györfi
language : en
Publisher: Springer
Release Date : 2014-05-04
Principles Of Nonparametric Learning written by Laszlo Györfi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-04 with Technology & Engineering categories.
This volume provides a systematic in-depth analysis of nonparametric learning. It covers the theoretical limits and the asymptotical optimal algorithms and estimates, such as pattern recognition, nonparametric regression estimation, universal prediction, vector quantization, distribution and density estimation, and genetic programming.
Lectures On Empirical Processes Theory And Statistical Applications
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Author : EUSTASIO DEL BARRIO; PAUL DEHEUVELS; SARA VAN DE G.
language : en
Publisher:
Release Date :
Lectures On Empirical Processes Theory And Statistical Applications written by EUSTASIO DEL BARRIO; PAUL DEHEUVELS; SARA VAN DE G. and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.