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| Introduction to Probability Models, Ninth Edition
Hardcover
Edition: 9
Author: Sheldon M. Ross
Publisher: Academic Press
Release Date: 2006-12-05
ISBN-10: 0125980620
ISBN-13: 9780125980623
List Price: $99.95
Average Customer Rating:
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Summaries and Customer Reviews are supplied by Amazon.com
Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It provides an introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries.
A new section (3.7) on COMPOUND RANDOM VARIABLES, that can be used to establish a recursive formula for computing probability mass functions for a variety of common compounding distributions.
A new section (4.11) on HIDDDEN MARKOV CHAINS, including the forward and backward approaches for computing the joint probability mass function of the signals, as well as the Viterbi algorithm for determining the most likely sequence of states.
Simplified Approach for Analyzing Nonhomogeneous Poisson processes
Additional results on queues relating to the
(a) conditional distribution of the number found by an M/M/1 arrival who spends a time t in the system,;
(b) inspection paradox for M/M/1 queues
(c) M/G/1 queue with server breakdown
Many new examples and exercises.
New To This Edition Are Five New Sections
| Customer Rating: | ".....NEW TO THIS EDITION ARE FIVE NEW SECTIONS, and numerous new examples and exercises, many of which focus on strategies applicable in risk industries such as insurance or acturial work....."
"Other Academic Press books by Sheldon Ross:
Simulation 3/e, ISBN 0 12 598053 1.
Probability Models for Computer Science, ISBN 0 12 598051 5.
Introduction to Probability and Statistics for Engineers and Scientists 2/e, ISBN 0 12 598472 3."
[from the book of the back cover] |
does not explain the concepts so well; just one proposition after the other
| Customer Rating: | We had this book for a 4th year Computer Science - Statistics course.
I agree with some of the other reviewers that - inspite of claiming to be an 'introductory' text book - it does not explain the concepts so well.
e.g. Bayes Theorem has been introduced in like half a page with absolutely no explaination of prior and posterior probablities and the underlying concepts (something I learnt when we applied Bayes Formula in a Neural Networks & Data Mining course)
So all you get are the formulae from this book (at least in the first few chapters that I read), where the author should have spent more time 'introducing' concepts.
The solved examples are ok, but very academic - and there is no way to be sure of your answers for the other non-solved questions (unless you have a lecturer to discuss them with)
2 Stars - because they ought to start writing math books that regular people can read and understand and appreciate - not just math prodigies |
Dense and difficult to follow.
| Customer Rating: | | This book contains a wealth of information about probability models, but it's so hard to follow that I can't extract any of that information to make any use of it. From the other reviews, I gather that it is a good resource for some. But this definitely not an INTRODUCTION to Probability Models unless you have a very strong background in general probability. |
one of the best introduction to probability and stochastic processes
| Customer Rating: | | Understanding probability requires various resources to read. I think this book is one of the irreplaceable element in these resources. It is an introduction book as the name implies. Examples are illuminating the subject very well. |
Why are there so many examples?
| Customer Rating: | Extremely difficult to dig through the excessive examples in order to find the relevant theorems and results. Because of this, the problems at the end of each chapter become exercises in tedium, as more time is spent searching for the necessary theorems in the text than in actually working out the solution.
I do not recommend. |
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