Home | Best Seller | FAQ | Contact Us
Browse
Art & Photography
Biographies & Autobiography
Body,Mind & Health
Business & Economics
Children's Book
Computers & Internet
Cooking
Crafts,Hobbies & Gardening
Entertainment
Family & Parenting
History
Horror
Literature & Fiction
Mystery & Detective
Nonfiction
Professional & Technology
Reference
Religion
Romance
Science
Science Fiction & Fantasy
Sports & Outdoors
Travel & Geography
   Book Info

enlarge picture

Stochastic Processes: Theory and Methods  
Author: D. N. Shanbhag
ISBN: 0444500146
Format: Handover
Publish Date: June, 2005
 
     
     
   Book Review

From Book News, Inc.
This volume in the series contains chapters on areas such as pareto processes, branching processes, inference in stochastic processes, Poisson approximation, Levy processes, and iterated random maps and some classes of Markov processes. Other chapters cover random walk and fluctuation theory, a semigroup representation and asymptomatic behavior of certain statistics of the Fisher-Wright-Moran coalescent, continuous-time ARMA processes, record sequence and their applications, stochastic networks with product form equilibrium, and stochastic processes in insurance and finance. Other subjects include renewal theory, stochastic processes in reliability, supports of stochastic processes of multiplicity one, Markov chains, diffusion processes, and Ito's stochastic calculus and its applications.Copyright © 2004 Book News, Inc., Portland, OR

Book Description
Hardbound. J. Neyman, one of the pioneers in laying the foundations of modern statistical theory, stressed the importance of stochastic processes in a paper written in 1960 in the following terms: "Currently in the period of dynamic indeterminism in science, there is hardly a serious piece of research, if treated realistically, does not involve operations on stochastic processes". Arising from the need to solve practical problems, several major advances have taken place in the theory of stochastic processes and their applications. Books by Doob (1953; J. Wiley and Sons), Feller (1957, 1966; J. Wiley and Sons) and Loève (1960; D. van Nostrand and Col., Inc.) among others, have created growing awareness and interest in the use of stochastic processes in scientific and technological studies. The literature on stochastic processes is very extensive and is distributed in several books and journals. There is a need to review the different lines of




Stochastic Processes: Theory and Methods

SYNOPSIS

This volume in the series contains chapters on areas such as pareto processes, branching processes, inference in stochastic processes, Poisson approximation, Lévy processes, and iterated random maps and some classes of Markov processes. Other chapters cover random walk and fluctuation theory, a semigroup representation and asymptomatic behavior of certain statistics of the Fisher-Wright-Moran coalescent, continuous-time ARMA processes, record sequence and their applications, stochastic networks with product form equilibrium, and stochastic processes in insurance and finance. Other subjects include renewal theory, stochastic processes in reliability, supports of stochastic processes of multiplicity one, Markov chains, diffusion processes, and Ito's stochastic calculus and its applications.

Annotation c. Book News, Inc., Portland, OR (booknews.com)

ACCREDITATION

Shanbhag, D. N.; Rao, C. R.

     



Home | Private Policy | Contact Us
@copyright 2001-2005 ReadingBee.com