×


 x 

Shopping cart
V. G. Kulkarni - Introduction to Modeling and Analysis of Stochastic Systems - 9781461427353 - V9781461427353
Stock image for illustration purposes only - book cover, edition or condition may vary.

Introduction to Modeling and Analysis of Stochastic Systems

€ 132.37
FREE Delivery in Ireland
Description for Introduction to Modeling and Analysis of Stochastic Systems Paperback. This book provides a self-contained review of all the relevant topics in probability theory. A software package called MAXIM, which runs on MATLAB, is made available for downloading. Vidyadhar G. Kulkarni is Professor of Operations Research at the University of North Carolina at Chapel Hill.

Series: Springer Texts in Statistics. Num Pages: 326 pages, biography. BIC Classification: KJT; PBT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 17. Weight in Grams: 462.
This is an introductory-level text on stochastic modeling. It is suited for undergraduate students in engineering, operations research, statistics, mathematics, actuarial science, business management, computer science, and public policy. It employs a large number of examples to teach the students to use stochastic models of real-life systems to predict their performance, and use this analysis to design better systems. The book is devoted to the study of important classes of stochastic processes: discrete and continuous time Markov processes, Poisson processes, renewal and regenerative processes, semi-Markov processes, queueing models, and diffusion processes. The book systematically studies the short-term and the long-term behavior, ... Read more

Product Details

Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
326
Condition
New
Series
Springer Texts in Statistics
Number of Pages
313
Place of Publication
New York, NY, United States
ISBN
9781461427353
SKU
V9781461427353
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About V. G. Kulkarni
V. G. Kulkarni is Professor in the Department of Statistics and Operations Research in the University of North Carolina, Chapel Hill. He has authored a graduate-level text Modeling and Analysis of Stochastic Systems and dozens of articles on stochastic models of queues, computer and communications systems, and production and supply chain systems. He holds a patent on traffic management in ... Read more

Reviews for Introduction to Modeling and Analysis of Stochastic Systems
From the reviews of the second edition: “The author has added a new chapter on Poisson processes and another one on Brownian motion. The discussion is kept on an elementary level and does not require any knowledge from measure theory or advanced calculus. … the text is suitable for an undergraduate course on probabilistic modeling for students from physics, ... Read more

Goodreads reviews for Introduction to Modeling and Analysis of Stochastic Systems


Subscribe to our newsletter

News on special offers, signed editions & more!