Random Processes and Their Applications

Author: Liu Cihua
Publisher:
Publish Date: 2004-07-01
Features: This book is a textbook for the graduate course "Stochastic Processes," revised based on the second edition. Its main contents include: the concept of stochastic processes, Poisson processes, Markov chains, continuous-time Markov chains, stationary random processes, spectral analysis of stationary random processes, stochastic differential equations, time series analysis, etc. In addition to introducing basic theories, the book emphasizes Markov chains and stationary processes, which are more frequently used in practice. Compared to the second edition, the explanations are made as accessible as possible, and examples and exercises are appropriately increased and combined with practical applications. Each chapter is followed by exercises, and solutions to the exercises are provided at the end of the book for reference. This book can be used as a textbook or reference for master's students in various science and engineering disciplines, as well as for economics and management majors. It can also serve as a reference for relevant teaching and engineering professionals.