Introduction to Probability and Statistics for Engineers and Scientists, Third Edition
By addebook • Jul 3rd, 2008 • Category: Mathematics •
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Introduction to Probability and Statistics for Engineers and Scientists, Third Edition
Introduction to Probability and Statistics for Engineers and Scientists, Third Edition
By Sheldon M. Ross
Publisher: Academic Press
Number Of Pages: 640
Publication Date: 2004-07-06
ISBN-10 / ASIN: 0125980574
ISBN-13 / EAN: 9780125980579
Binding: Hardcover
This updated classic provides a superior introduction to applied probability and statistics for engineering or science majors. Author Sheldon Ross shows how probability yields insight into statistical problems, resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples, and the enclosed CD-ROM includes software that automates the required computations.
The Third Edition includes new exercises, examples, and applications, updated statistical material, and more.
New in this edition:
* New exercises and data examples including:
- The One-sided Chebyshev Inequality for Data
- The Logistics Distribution and Logistic Regression
- Estimation and Testing in proofreader problems
- Product Form Estimates of Life Distributions
- Observational Studies
* Updated statistical material
* New, contemporary applications
Hallmark features:
* Reflects Sheldon Ross’s masterfully clear exposition
* Contains numerous examples, exercises, and homework problems
* Unique, easy-to-use software automates required computations
* Applies probability theory to everyday statistical problems and situations
* Careful development of probability, modeling, and statistical procedures leads to intuitive understanding
* Instructor’s Solutions Manual is available to adopters
Summary: Introduction to Probability and Statisitics for Engineers and Scientists
Rating: 5
Another Elsevier classic. Good undergraduate textbook or postgraduate reference. I am very happy with this book.
Summary: Are you kidding?
Rating: 2
Naturally. probability and counting are difficult concepts to grasp. So therefore, let’s make a book without answers in the back (ehm, what’s the point of solving a problem if you don’t have anything to check it against?). I’m rather surprised this comes out of an engineer.
What I’m not surprised by is the explanations. They are like bombs. Basically, here’s an equation, it works, use it (maybe that’s how engineers work?). Why does it work? Derivation? Hello? Wherever there are actually explanations I would not consider them enough for a regular student to understand.
I’m disappointed, this book is making my prob and stats course harder than it should be.
Summary: Please benefit from my pain and stay away from this book
Rating: 1
I have a record of straight As in every undergrad math course there is, and some graduate ones too. I am back in school as a PhD candidate, and find this book among the worst I have seen on the topic. The author’s explanation of concepts are poor or nonexistent, and the examples skip steps and do not provide the student the opportunity to learn incrementally. I have reviewed several books on the subject now, and I recommend checking out Prob & Stats for Engineers and Scientists by Walpole and Meyers, 6th Edition. It’s crystal clear, consistent and is saving my degree program!
Summary: Errors!
Rating: 1
This book has good organization of subject matter. The examples used are pretty good too.
However, within no more than an hour of flipping through various chapter of my interest, I found 2 errors. What baffled me was that the errors were so easy to catch and yet they existed in the THIRD edition! Unforgivable!
I reckon at this rate there have to many more to be unearthed! The author definitely needs better proof-reading.
Summary: Weak on applications and statistics
Rating: 1
I have used this book for a course on probability and statistics for engineers, and will not use it again. The author is apparently more versed on probability than on statistics, because the latter topics are poorly explained. A section on linearization in the regression chapter is actually a dangerous misapplication and should be replaced by material explaining nonlinear regressions. The section on analysis of variance uses dot notation that’s different from the standard used in most other texts and will therefore be confusing to many. The CD that’s provided is not useful in a pedagogic sense since it is a “black box” in its actual function. But the most serious shortcoming in this book is the failure to bridge the gap between theory and application: there are no worked examples in most cases, just equations in the chapter, then problems at the end.
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