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eBook Statistics for Engineers and Scientists download

by William Navidi

ISBN: 0073376337
Author: William Navidi
Publisher: McGraw-Hill Science/Engineering/Math; 3 edition (January 27, 2010)
Language: English
Pages: 928
ePub: 1404 kb
Fb2: 1484 kb
Rating: 4.2
Other formats: mbr lrf doc docx
Category: Math Sciences
Subcategory: Mathematics

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Loose Leaf for Statistics for Engineers and Scientists. The textbook served the purpose well for my stats class that it was required for. The book is pretty well laid out and has good summary boxes after each section.

Loose Leaf for Statistics for Engineers and Scientists. The one thing I would warn is that the same professor that wrote this book also wrote "Principles of Statistics for Engineers and Scientists", which is not the same.

ELECTRONIC TEXTBOOK OPTION This text may be purchased in electronic form through an online resource know as CourseSmart. Although our emphasis in this book is on the applications of statistics to science and engineering, it is worth mentioning that the analysis and interpretation of data are playing an ever-increasing role in all aspects of modern life.

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William Navidi is Professor of Mathematical and Computer Sciences at the Colorado School of Mines. degree in mathematics from New College, the . in mathematics from Michigan State University, and the P. in statistics from the University of California at Berkeley.

Statistics for engineers and scientists, William Navidi. The book provides extensive coverage of propagation of error. 3rd ed. p. cm. Includes bibliographical references and index. ISBN-13: 978-0-07-337633-2 (alk. paper) ISBN-10: 0-07-337633-7 (alk. paper) 1. Mathematical n methods. 2. Bootstrap (Statistics) 3. Linear models (Statistics) I. Title. The book presents a solid introduction to simulation methods and the bootstrap, including applications to verifying normality assumptions, computing probabilities, estimating bias, computing confidence intervals, and testing hypotheses.

Start by marking Statistics for Engineers and Scientists as Want to Read . 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

Start by marking Statistics for Engineers and Scientists as Want to Read: Want to Read savin. ant to Read. 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.

William Navidi received a . Dr. Navidi has written two engineering statistics textbooks for McGraw-Hill and has . This is a wonderful, clear book for an introduction to statistics. in mathematics from New College, an . in mathematics from Michigan State University, and a P. Navidi is a professor of applied mathematics and statistics at the Colorado School of Mines in Golden, Colorado.

Proprietary and confidential. This Manual is the proprietary property of The McGraw-Hill Companies, Inc.

Statistics for engineers and. SCIENTISTS, 4th ed. Prepared by. William Navidi. Proprietary and confidential. By. opening and using this Manual the user agrees to the following restrictions, and if. the recipient does not agree to these restrictions, the Manual should be promptly. returned unopened to McGraw-Hill: This Manual is being provided only to authorized

William Navidi’s most popular book is Statistics for Engineers and Scientists.

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.

Statistics for Engineers and Scientists features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.

Comments: (7)

Feri

The book explains concepts fairly well, and has decent example problems. However, I have an issue with it especially because it is a statistics book, where there are very minor equation shifts for very similar types of problems--it would be really nice if the book included a sort of equation sheet at the end of each chapter, stating the type of problem that each equation is useful for. Like after the chapter on hypothesis tests (which really blend together), it would be great if there were something like "Two-tailed hypothesis test, large sample: this equation; Chi-squared hypothesis test: this equation," etc. It had little boxes where there were important equations, but a summary sheet would have been incredibly helpful.

krot

My students, on the whole like statistics. I think the text plays a key part in this. The problems are realistic and not over repetitive. I use R as my programming language for the course, with no difficulty.

Kea

Reading though the text book isn't too horrible, the book generally makes sense. My two main vices with this book is that it is sometimes difficult to understand what a specific symbol represents or where they got the value for it. I also don't like how you have chapters 1-10, the tables, answers to odd # questions then the index. It makes the tables incredibly difficult to find (except for the ones on the front and back cover. I recommend putting tabs into your own copy so you can find the tables easier.

Goldcrusher

The textbook served the purpose well for my stats class that it was required for. The book is pretty well laid out and has good summary boxes after each section. The one thing I would warn is that the same professor that wrote this book also wrote "Principles of Statistics for Engineers and Scientists", which is not the same. If you are getting this as a required textbook for a course, make sure you are getting the right textbook!

Darkshaper

This book was alright for learning engineering statistics, but it wasn't as easy to follow and 'dumbed down' as I hoped it would be. It was a very challenging class and I wish the text book had done a little better job of explaining.

Zinnthi

This book is clear and concise. It's also very easy to understand and follow. I would've given 5 stars, but there was a little tear in the back cover.

Mightdragon

Awesome book. Great examples and easy to follow hw problems.

This is a wonderful, clear book for an introduction to statistics. It has plenty of concrete examples and it's well paced and laid out. I've used it extensively for my Ph.D. research in space physics. One word of caution: there's not really any discussion about time-series data, so if you're dealing with dependent samples or an autoregressive process, this book will only get you half way there.

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