Applied Stochastic System Modeling

In: Springer eBook Collection

Abstract

This book provides a self-contained and systematic treatment of stochastic processes and their applications. Having a ba- sic knowledge of mathematics at an undergraduate level, the reader can easily understand stochastic processes with dis- crete state space such as Poisson processes, renewal proces- ses and Markov chains. Fruitful applications of such proces- sesare also described in the real world problems in relia- bility and queueing models. Numerous illustrations are included for better understanding. Problems are included in each chapter. Appendices are devoted to the Laplace-Stieltjes transforms and their properties, and answers to selected problems. It is suitable for an introductory one-semester or two-quarter course in stochastic processes for the junior or senior undergraduate students