Probability, Statistics, and Queueing Theory with Computer Science Applications

Allen, Arnold O.

ISBN 10: 0120510502 / ISBN 13: 9780120510504

Edité par Academic Press, 1978

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In shrink wrap. Looks like an interesting title!

N° de réf. du vendeur Q-0120510502

Détails bibliographiques

• Titre: Probability, Statistics, and Queueing Theory with Computer Science Applications
• Éditeur: Academic Press
• Date de parution: 1978
• Langue: anglais
• ISBN à 10 chiffres: 0120510502
• ISBN à 13 chiffres: 9780120510504
• Reliure: hardcover
• État de l'article: New

A propos de ce titre

Synopsis

This is a textbook on applied probability and statistics with computer science applications for students at the undergraduate level.

Revue de presse

"Allens book is a most welcome contribution: it is self-contained, well-focused and replete with instructive examples. Its informal style makes it well-suited for the non-academic practitioner, but it is also an excellent text for advanced undergraduates."
--COMPUTING REVIEWS
"The techniques and methodology for evaluating computer system performance and capacity are nicely described in Dr. Allen's excellent book. The use of computer-oriented examples is instructive as well as refreshing."
--IBM SYSTEMS JOURNAL
"The exposition and notation are unusually clear...this is a well executed, useful book which should be in every computer scientist's library."
--POPULAR COMPUTING
"This book covers just enough theory so that the practical aspects can be illustrated. Homework mixed with humor further strengthens queueing applications. Over the last decade my graduate students, 95% of whom are now practicing engineers in industry, keep telling me how useful [the book] is as a reference..."
--Monte Ung, UNIVERSITY OF SOUTHERN CALIFORNIA
"I have used the text in a two-semester course in Probability and Stochastic Processes at George Mason University. I chose the text because of its complete coverage of these subjects and its organization of topics. I particularly appreciated its up-front introduction of important concepts like joint and conditional distributions and transform methods. These concepts are then exploited in the subsequent development of discrete and continuous distributions and limit theorems. The treatment of stochastic processes and queueing theory was exactly what I wanted for my O.R.-oriented audience. the book was very complete and clear in its explanations, and it includes many excellent examples and exercises. I was quite pleased with my class's success with this text, and I am looking forward to using the new edition."
--Donald T. Gantz, Ph.D., GEORGE MASON UNIVERSITY