Statistics for Engineers and Scientists w/ CD-ROM [Hardcover]

William Navidi (Author)

Book Description

Publication Date: December 30, 2004 | ISBN-10: 0073107670 | ISBN-13: 978-0073107677 | Edition: 1

Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work.

Editorial Reviews

About the Author

William Navidi is Professor of Mathematical and Computer Sciences at the Colorado School of Mines. He received the B.A. degree in mathematics from New College, the M.A. in mathematics from Michigan State University, and the Ph.D. in statistics from the University of California at Berkeley. Professor Navidi has authored more than 50 research papers both in statistical theory and in a wide variety of applications including computer networks, epidemiology, molecular biology, chemical engineering, and geophysics.

Product Details

• Hardcover: 869 pages
• Publisher: McGraw-Hill Science/Engineering/Math; 1 edition (December 30, 2004)
• Language: English
• ISBN-10: 0073107670
• ISBN-13: 978-0073107677
• Product Dimensions: 9 x 7.6 x 1.5 inches
• Shipping Weight: 3.4 pounds
• Average Customer Review: 4.5 out of 5 stars  See all reviews (11 customer reviews)
• Amazon Best Sellers Rank: #933,307 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

13 of 13 people found the following review helpful:

5.0 out of 5 stars A Must Have! The Greatest resource for statistics for Engineers and Scientists, August 28, 2006

By 

Merlynik Statistics (Lakewood, Colorado USA) - See all my reviews

This review is from: Statistics for Engineers and Scientists w/ CD-ROM (Hardcover)

I hold a BS in Math and I'm completeing a MS in Applied Statistics. If I had this textbook prior to completing my course work I could have replaced three or four and maybe five other books with Dr. Navidi's work. This is with out question the best single source for basic statistics you can find for an engineer, scientist or anyone else that is more concerned with the use of the statistics than the mathematical background.

If you are looking for a basic intro book for a stats major this would be okay, it is the PERFECT BOOK for the intro to applied statistics course. There is more info in this book than can be covered in one semester but is easy to read and can be used for years and years as the resource for statistics.

Simple and easy to read, use and full of real world examples. A better statistics book does not exist.

10 of 10 people found the following review helpful:

3.0 out of 5 stars good introductory textbook, April 15, 2008

By 

Eduardo Antico "..." (...) - See all my reviews

This review is from: Statistics for Engineers and Scientists (Hardcover)

This book is intended for those who are more concerned with using statstical methods (on someone's experimental data, for instance) than with a detailed exposition and foundation of the principles. This book is very succinct (formulae are highlighted and easy to find) and concepts are easily accessible (i.e., easy to read). It is full of examples, many of them from existing academic references. Having taken my last course on statstics over 10 years ago, this book is definitely a much less painful refresher than my old textbook. The headings sum up very nicely all the important ideas, and this makes learning (and relearning) very easy.

There are, unfortunately, a number of things that bug me about this book, and I suppose they are consequences to making the information accessible. First, is that there are many instances that formalism is abandoned in favour of continuity. The presentation of Poisson's distribution as an extension of the binomial distribution, for example, is conceptually incorrect. There also many places where proofs are not supplied but, in the mean time, the mathematical complexity for these proofs might have been overwhelming for the intended readership. I also find that, the discussions on confidence intervals and hypothesis testing could have been made much simpler. The Central Limit Theorem can be used more generously in these sections to simplify these sections. Finally, I also find that the questions can be more conceptually challenging.

Pros:
(1) Book is very well written and concepts easily understood
(2) There are plenty of examples to illustrate said concepts
(3) Information is easily accessible and is very practical

Cons:
(1) Formalism heavily sacrificed in favour of continuity
(2) Some concepts can be presented more effectively (i.e. less pages)
(3) End-of-chapter questions can be moe challenging

This is a very effective undergraduate textbook on this topic. However, at this point, I am still not very satisfied with the information presented, and had to dig up places to understand further the concepts that are presented within. But that's all part of an education, isn't it?

2 of 2 people found the following review helpful:

5.0 out of 5 stars BUY THE SOFTCOVER INTERNATIONAL EDITION!, January 14, 2010

By 

MinesChick "MinesChick" (Colorado) - See all my reviews

This review is from: Statistics for Engineers and Scientists (Hardcover)

If you can get your hands on the softcover international second edition, it is EXACTLY the same as this hardcover second edition. I risked purchasing the softcover edition for use in a class at my university and later compared the two versions. They are PERFECTLY identical from the examples and problems to the text. Even the page numbers are exactly the same. I found a softcover for less than [...]; it saved me about [...]. I definitely recommend the softcover.

They can be difficult to come by sometimes, but here are the links for the amazon listings.

Statistics for Engineers and Scientists 2nd (softcover international edition)

and another...

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