ABSTRACT

This book introduces stochastic processes and their applications for students in engineering, industrial statistics, science, operations research, business, and finance. It provides the theoretical foundations for modeling time-dependent random phenomena encountered in these disciplines. Through numerous science and engineering-based examples and e

chapter 1|42 pages

Probability Theory

chapter 2|26 pages

Stochastic Processes

chapter 3|30 pages

Poisson Processes

chapter 4|38 pages

Renewal Processes

chapter 5|32 pages

Discrete-Time Markov Chains

chapter 6|88 pages

Continuous-Time Markov Chains

chapter 7|36 pages

Wiener Processes

chapter 8|19 pages

Spectral Analysis of Stationary Processes