Stochastic-Process Limits

Stochastic-Process Limits
Author: Ward Whitt
Publisher: Springer Science & Business Media
Total Pages: 616
Release: 2006-04-11
Genre: Mathematics
ISBN: 0387217487

Download Stochastic-Process Limits Book in PDF, Epub and Kindle

From the reviews: "The material is self-contained, but it is technical and a solid foundation in probability and queuing theory is beneficial to prospective readers. [... It] is intended to be accessible to those with less background. This book is a must to researchers and graduate students interested in these areas." ISI Short Book Reviews


Stochastic-Process Limits
Language: en
Pages: 616
Authors: Ward Whitt
Categories: Mathematics
Type: BOOK - Published: 2006-04-11 - Publisher: Springer Science & Business Media

GET EBOOK

From the reviews: "The material is self-contained, but it is technical and a solid foundation in probability and queuing theory is beneficial to prospective rea
Limit Theorems for Stochastic Processes
Language: en
Pages: 620
Authors: Jean Jacod
Categories: Mathematics
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

GET EBOOK

Initially the theory of convergence in law of stochastic processes was developed quite independently from the theory of martingales, semimartingales and stochas
Limit Theorems for Randomly Stopped Stochastic Processes
Language: en
Pages: 408
Authors: Dmitrii S. Silvestrov
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

GET EBOOK

This volume is the first to present a state-of-the-art overview of this field, with many results published for the first time. It covers the general conditions
Limit Theorems for Randomly Stopped Stochastic Processes
Language: en
Pages: 416
Authors: Dimitri Silvestrov
Categories:
Type: BOOK - Published: 2014-01-15 - Publisher:

GET EBOOK

Convergence of Stochastic Processes
Language: en
Pages: 223
Authors: D. Pollard
Categories: Mathematics
Type: BOOK - Published: 1984-10-08 - Publisher: David Pollard

GET EBOOK

Functionals on stochastic processes; Uniform convergence of empirical measures; Convergence in distribution in euclidean spaces; Convergence in distribution in