In modern computer science, software engineering, and other fields, the need arises to make decisions under uncertainty. Presenting probability and statistical methods, simulation techniques, and modeling tools, Probability and Statistics for Computer Scientists helps students solve problems and make optimal decisions in uncertain conditions
Table of Contents:
Introduction and Overview. Probability. Discrete Random Variables and Their Distributions. Continuous Distributions. Computer Simulations and Monte Carlo Methods. Stochastic Processes. Queuing Systems. Introduction to Statistics. Statistical Inference. Regression. Appendix. Index.
Review :
"… students of all majors will benefit from the author’s fine presentation of applied probability models and computer simulation. I am seriously considering adopting it for a [probability-oriented course] … the chapters on simulation and applied probability models are truly outstanding …"
—Matthew A. Carlton, Cal Poly State University, The American Statistician, August 2008
“…well-organized text seems designed as a gentle introduction to the mathematics of probability and statistics. …helpful diagrams…surprisingly detailed.”
—John Maindonald, International Statistical Review, Vol. 75, No. 2, 2007
"… an ideal textbook for computer science students. … This book is primarily intended for junior undergraduate to beginning graduate level students majoring in computer-related fields. It can also be used by electrical engineering, mathematics, statistics, actuarial science, and other majors for a standard introductory statistics course. Graduate students can use this book to prepare for probability-based courses such as queuing theory, artificial neural networks, and computer performance. Overall, this well-written text can be used as a standard reference on probability and statistical methods, simulation and modeling tools."
—Journal of the Royal Statistical Society
"The book represents a good reference to all who are interested in statistics, modeling stochastic processes, and computer simulation. … The book’s material is invaluable and presented with clarity …"
—Journal of Applied Statistics, 2007
