Introduction to Probability Models (English Version-Tenth Edition)

With simple, wide but easy-to-understand narration, the book involves random variable, conditional probability and expectation, discrete and continuous Markov chains, exponential distribution, Poisson process, Brownian motion and stationary process, renewal theory and queuing theory, etc., and also contains the random process application in physics, biology, operation, network, heredity, economy, insurance, finance and reliability, etc. In particular, the content about random simulation provides the powerful tool to the simulated calculation of random system operation. Besides the text, the book provides 700 more exercises, and the answers to the exercises with (*). It can be the basic textbook of random process for probability and statistics, computer science, insurance, physics, social science, life science, management science and engineering, etc.