Probability Models for Computer Science / Edition 1

Probability Models for Computer Science / Edition 1

by Sheldon M. Ross
ISBN-10:
0125980515
ISBN-13:
9780125980517
Pub. Date:
06/11/2001
Publisher:
Elsevier Science
ISBN-10:
0125980515
ISBN-13:
9780125980517
Pub. Date:
06/11/2001
Publisher:
Elsevier Science
Probability Models for Computer Science / Edition 1

Probability Models for Computer Science / Edition 1

by Sheldon M. Ross

Hardcover

$106.0 Current price is , Original price is $106.0. You
$106.00 
  • SHIP THIS ITEM
    Qualifies for Free Shipping
  • PICK UP IN STORE
    Check Availability at Nearby Stores
  • SHIP THIS ITEM

    Temporarily Out of Stock Online

    Please check back later for updated availability.


Overview

The role of probability in computer science has been growing for years and, in lieu of a tailored textbook, many courses have employed a variety of similar, but not entirely applicable, alternatives. To meet the needs of the computer science graduate student (and the advanced undergraduate), best-selling author Sheldon Ross has developed the premier probability text for aspiring computer scientists involved in computer simulation and modeling. The math is precise and easily understood. As with his other texts, Sheldon Ross presents very clear explanations of concepts and covers those probability models that are most in demand by, and applicable to, computer science and related majors and practitioners.

Product Details

ISBN-13: 9780125980517
Publisher: Elsevier Science
Publication date: 06/11/2001
Edition description: New Edition
Pages: 304
Product dimensions: 5.94(w) x 9.00(h) x (d)

About the Author

Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his PhD in statistics at Stanford University in 1968. 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, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award.

Table of Contents

Review of Probability; Some Examples; Poisson and Compound Poisson Variables; Approximations and Processes; Markov Chains; Queuing; Random Algorithms and the Probabilistic Method; Martingales; Simulation.
From the B&N Reads Blog

Customer Reviews