Probability, Statistics, and Queueing Theory with Computer Science Applications [Hardcover]

Arnold O. Allen (Author)

Book Description

Publication Date: September 1978 | ISBN-10: 0120510502 | ISBN-13: 978-0120510504

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

Editorial Reviews

Review

"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 --This text refers to an out of print or unavailable edition of this title.

About the Author

Arnold O. Allen is a member of the technical staff of the Performance Technology Center at Hewlett-Packard. He received his Ph.D. in mathematics from UCLA. Much of the material in the book was developed for classes in probability, statistics, queueing theory, and computer modeling that he taught as UCLA, IBM, and Hewlett-Packard. Dr. Allen has been active in teaching conference tutorials on computer modeling and was the keynote speaker at two international conferences.

--This text refers to an out of print or unavailable edition of this title.

Product Details

• Hardcover: 406 pages
• Publisher: Academic Pr (September 1978)
• Language: English
• ISBN-10: 0120510502
• ISBN-13: 978-0120510504
• Product Dimensions: 9 x 6.2 x 0.9 inches
• Shipping Weight: 1.6 pounds
• Average Customer Review: 3.6 out of 5 stars  See all reviews (5 customer reviews)
• Amazon Best Sellers Rank: #1,847,291 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

2 of 2 people found the following review helpful:

5.0 out of 5 stars Excellent Resource. Highly Recommend., June 18, 1999

By A Customer

This review is from: Probability, Statistics, and Queuing Theory with Computer Science Applications, Second Edition (Computer Science and Scientific Computing) (Hardcover)

Excellent resource for statisics and queueing theory. Clear in depth presentation and plenty of examples. Author has a good presentaion style and is humorous as times. Makes you actually want to learn the material. Only fault is that it doesn't have any spreadsheet examples. (understandable though considering when it was published)

4 of 5 people found the following review helpful:

5.0 out of 5 stars Easy to read, complete resource -- great book, July 21, 1999

By A Customer

This review is from: Probability, Statistics, and Queuing Theory with Computer Science Applications, Second Edition (Computer Science and Scientific Computing) (Hardcover)

The book covers a lot of relevant material in sufficient detail. It's hard to find a good book on probability and queueing theory applied to computer science. This book is one of the best I have seen. The author does an excellent job of explaining the variables used in the different equations contained in the book, and also clearly explains the context in which various equations are used. Everything is well presented and easy to read. I continue to use the book as a valuable reference and highly recommend it.

2 of 3 people found the following review helpful:

3.0 out of 5 stars Competent author, poor presentation skill, November 8, 2007

By 

Yi Feng "YiF" (Astoria, NY) - See all my reviews
(REAL NAME)   

Amazon Verified Purchase

This review is from: Probability, Statistics, and Queuing Theory with Computer Science Applications, Second Edition (Computer Science and Scientific Computing) (Hardcover)

I was about to review the book the first week I got it. Now two months passed and I think I am ready to review this book. I am a 4th year computer science phd student, with personal interest in statistics, which is not my thesis direction.

1. This book is a thorough book, not only cover the area of traditional probability theory, statistics and stocastics, it also thoroughly discussed queueing theory and other advanced topics, in a level of a special book for the topic.

2. This book is of a lot of typos, some of them are unforgivable - essential errors in formulaes. In the 2nd chapter, there are more than one typo per page. The typos are less in the later chapters, but more than any textbook I ever read.

3. The presentation is not good - it is not presented in a nice flow. I have to check back and forth to see where I am in the context. The language of the book is neither neat nor technical - we found a lot of ambiguities in the exercises - different people has different interpretation. Ironically, the author criticized a lot on other statistician's language, I would believe it is better than his. I would say, one may need to pay 1.8-2.5 times effort to understand this book than a well presented textbook.

4. The notation is too much but not good. In chapter 5., they author made a notation table in the front and for each chapter, there is a notation table in the appendix. Well, it is very normal to find some notations in a chapter not appears in the notation table.

5. The author want to cover too much content. Surely he know about the content but when he feel it is too challenging to cover, he put a citation there. To me, it may be better to just skip that part.

In general, if the author could sit down for a month or two, reread every chapter he wrote, think if it make sense or necessary, and re-present the book and correct the typos, it deserve 4.5 stars.