Introduction to Probability Models Using Random Processes (8th Edition)

Author: (USA) Ross
Publisher:
Publish Date: 2006-03-01
Features: This book is rich in examples, covering various probability models from multiple disciplines. The main content includes random variables, conditional probability and conditional expectation, discrete and continuous Markov chains, exponential distribution, Poisson processes, Brownian motion and equilibrium processes, renewal theory and queuing theory, etc. It concludes with an introduction to random variable simulation. The book is extremely vivid and intuitive, accompanied by exercises and practical examples from different fields. It can serve as a fundamental textbook on stochastic processes for majors in probability and statistics, computer science, insurance, physics and social sciences, life sciences, management science and engineering.