Modeling, analysis, design, and control of stochastic system
By: V.G. Kulkarni.
Series: Springer texts in statistics
Publisher: Springer
Published: 1999
Place of publication: New York
Language: eng
Number of pages: 374
Subjects: Stochastic processes
Description: This is an introductory-level text on stochastic modeling. It is suited for undergraduate or graduate 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 how to build stochastic models of real-life systems, analyze these models to predict their performance, and use the analysis to design and control them.
Notes: Includes bibliographical references (p. [369]) and index.