Empirical Processes with Applications to Statistics

This book PDF is perfect for those who love Mathematics genre, written by Galen R. Shorack and published by SIAM which was released on 24 September 2009 with total hardcover pages 991. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Empirical Processes with Applications to Statistics books below.

Empirical Processes with Applications to Statistics
Empirical Processes with Applications to Statistics
Author : Galen R. Shorack
File Size : 41,8 Mb
Publisher : SIAM
Language : English
Release Date : 24 September 2009
ISBN : 9780898716849
Pages : 991 pages
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Empirical Processes with Applications to Statistics by Galen R. Shorack Book PDF Summary

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 with Applications to Statistics

Empirical Processes with Applications to Statistics by Galen R. Shorack,Jon A. Wellner

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

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Empirical Processes

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Download or read online Empirical Processes written by David Pollard, published by IMS which was released on 1990. Get Empirical Processes Books now! Available in PDF, ePub and Kindle.

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Empirical Processes with Applications to Statistics

Empirical Processes with Applications to Statistics by Galen R. Shorack,Jon A. Wellner

Originally published in 1986, this valuable reference provides a detailed treatment of limit theorems and inequalities for empirical processes of real-valued random variables; 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

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Introduction to Empirical Processes and Semiparametric Inference

Introduction to Empirical Processes and Semiparametric Inference by Michael R. Kosorok

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

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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

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Advanced text; estimation methods in statistics, e.g. least squares; lots of examples; minimal abstraction.

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Lectures on Empirical Processes by Eustasio Del Barrio,Paul Deheuvels,Sara A. Geer

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Convergence of Stochastic Processes

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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.

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