Introduction to Modeling and Analysis of Stochastic Systems

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...

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Bibliographic Details
Main Author: Kulkarni, V. G. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York, 2011.
Edition:2.
Series:Springer Texts in Statistics,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Introduction
  • Discrete-Time Markov Models
  • Poisson Processes
  • Continuous-Time Markov Models
  • Generalized Markov Models
  • Queueing Models
  • Brownian Motion.