Introduction to Probability Models

Sheldon M. Ross (Professor, Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, USA)

ISBN 10: 0125984758 / ISBN 13: 9780125984751

Published by Elsevier Science Publishing Co Inc, United States, San Diego, 2000

About this Item

The seventh edition of the successful Introduction to Probability Models introduces elementary probability theory and the stochastic processes and is particularly well-suited to those applying probability theory to the study of phenomena in engineering, management science, the physical and social sciences, and operations research. Skillfully organized, Introduction to Probability Models covers all essential topics. Sheldon Ross, a talented and prolific textbook author, distinguishes this carefully and substantially revised book by his effort to develop in students an intuitive, and therefore lasting, grasp of probability theory. The seventh edition includes many new examples and exercises, with the majority of the new exercises being less demanding of the student. In addition, the text introduces stochastic processes, stressing applications, in an easily understood manner. There is a comprehensive introduction to the applied models of probability that stresses intuition. Both students and professors will agree that this is the most solid and widely used text for probability theory. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Seller Inventory # GOR004133238

Bibliographic Details

• Title: Introduction to Probability Models
• Publisher: Elsevier Science Publishing Co Inc, United States, San Diego
• Publication Date: 2000
• Language: English
• ISBN 10: 0125984758
• ISBN 13: 9780125984751
• Binding: Paperback
• Condition: Very Good
• Weight: 1021 grams

About this title

Synopsis

The seventh edition of the successful Introduction to Probability Models introduces elementary probability theory and the stochastic processes and is particularly well-suited to those applying probability theory to the study of phenomena in engineering, management science, the physical and social sciences, and operations research. Skillfully organized, Introduction to Probability Models covers all essential topics. Sheldon Ross, a talented and prolific textbook author, distinguishes this carefully and substantially revised book by his effort to develop in students an intuitive, and therefore lasting, grasp of probability theory. The seventh edition includes many new examples and exercises, with the majority of the new exercises being less demanding of the student. In addition, the text introduces stochastic processes, stressing applications, in an easily understood manner. There is a comprehensive introduction to the applied models of probability that stresses intuition. Both students and professors will agree that this is the most solid and widely used text for probability theory.


* Provides a detailed coverage of the Markov Chain Monte Carlo methods and Markov Chain covertimes
* Gives a thorough presentation of k-record values and the surprising Ignatov's theorem
* Includes examples relating to: "Random walks to circles," "The matching rounds problem," "The best prize problem" and many more
* Contains a comprehensive appendix with the answers to approximately 100 exercises from throughout the text
* Accompanied by a complete instructor's solutions manual with step-by-step solutions to all exercises
NEW TO THIS EDITION
* Includes many new and easier examples and exercises
* Offers new material on utilizing probabilistic method in combinatorial optimization problems
* Includes new material on suspended animation reliability models
* Contains new material on random algorithms and cycles of random permutations

About the Author

Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. 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, and a recipient of the Humboldt US Senior Scientist Award.