【书名】 Introduction to Probability Models
【作者】 Sheldon M. Ross
【出版社】Academic Press
【版本】第九版
【文件格式】清晰PDF
【文件大小】3.65m
【页数】801
【ISBN出版号】978-0-12-598062-3
【作者】
Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of California, Berkeley. He received his Ph.D. in statistics at Stanford University in 1968 and has been at Berkeley ever since. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Fourth Edition published by MacMillan, Introduction to Probability Models, Fifth Edition published by Academic Press, Stochastic Processes, Second Edition published by Wiley, and a new text, Introductory Statistics published by McGraw Hill. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences published by Cambridge University Press. He is a Fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt US Senior Scientist Award.
University of California, Berkeley, U.S.A.
【目录】
?Introduction to Probability Theory
Random Variables.
Conditional Probability and Conditional. Expectation.
Markov Chains.
The Exponential Distribution and the Poisson Process.
Continuous-Time Markov Chains.
Renewal Theory and Its Applications.
Queuing Theory.
Reliability Theory.
Brownian Motion and Stationary Processes.
Simulation.