Modeling and Analysis of Stochastic Systems (Chapman & Hall/CRC Texts in Statistical Science)

By Vidyadhar G. Kulkarni

This practical text aims to enable students in engineering, business, operations research, public policy, and computer science to model and analyze stochastic systems. The major classes of useful stochastic processes - discrete and continuous time Markov chains, renewal processes, regenerative processes, and Markov regenerative processes - are presented, with an emphasis on modelling real-life situations with stochastic elements and analyzing the resulting stochastic model.

• Format: Hardcover
• Language: English
• ISBN: 0412049910
• ISBN13: 9780412049910
• Release Date: May 1996
• Publisher: Chapman and Hall/CRC
• Length: 634 Pages
• Weight: 2.30 lbs.
• Dimensions: 9.8" x 1.3" x 6.8"
• Age Range: 18 years and up
• Grade Range: Postsecondary

Customer Reviews

Good book, but not a basic for begineers

This is a good book. It has concentrated on the modeling aspect a lot. But if you lack a little basics or aren't comfortable with the Probability & Statistics, you would have to study them first and then acquire this. This book takes it for granted that you are thorough with your basics. Therefore for students who performed average in prob & statistics, get your basics done before taking this up. But trust me, this is a good book about Stochastic processes.

A useful book in Probabilistic Stochastic Area

I ve bought this book for my Stochastic class.It is usefull an consisting lots of exercises and you can even find the answers of the odd questions at the back of the book as the others.

precise, modern treatment of stochastic analysis

The book arises from lectures at UNC-CH in a two-semester course on stochastic models. The author has exceptional precision and organization in the classroom, and this comes through in the book. Great book for teaching from, as well as learning from. This book also takes a step which more venerable texts, such as the Trivedi book or the Ross series could not -- it has computational excercises suitable for math packages like Mathematica. Thus, the student can be introduced to scientific computer literacy as well as stochastic processes. I recommend this book to anyone interested in teaching today's student, or for preparing themselves for challenges in Operations Research. The book would make an above-average reference as well. Mike Bailey Associate Professor, Naval Postgraduate School