Applied Statistics and Probability for Engineers

Montgomery, Douglas C.; Runger, George C.

3.46

144 ratings by Goodreads

9780470910610: Applied Statistics and Probability for Engineers

ISBN 10: 0470910615 ISBN 13: 9780470910610

Publisher: Wiley, 2010

"This best-selling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It is packed with unique problem sets that reflect realistic situations engineers will encounter in their working lives. This text shows how statistics, the science of data is just as important for engineers as the mechanical, electrical, and materials sciences"--

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Review:

‘Readers will find the content of the book to be useful in engineering problem solving and decision making.’ ( Zentralblatt MATH,1102,May 2007)

‘Readers will find the content of the book to be useful in engineering problem solving and decision making.’ ( Zentralblatt MATH,1102,May 2007)

From the Back Cover:

Real Engineering Situations, Real Engineering Data

With Montgomery and Runger’s best–selling engineering statistics text, you can learn how to apply statistics to real engineering situations. The text shows you how to use statistical methods to design and develop new products, and new manufacturing systems and processes. You’ll gain a better understanding of how these methods are used in everyday work, and get a taste of practical engineering experience through real–world, engineering–based examples and exercises.

Now revised, this Fourth Edition of Applied Statistics and Probability for Engineers features many new homework exercises, including a greater variation of problems and more computer problems.

Key Features

The text treats all topics in a way that reflects today′s engineering realities. In the probability chapters, the authors emphasize engineering–specific examples, rather than counting methods or artificial applications such as gambling.
Examples and exercises throughout the text use real data and real engineering situations.
Coverage of probability is lively and interesting. It is complete but concise so as not to take over the content of the entire text.
Thorough coverage of regression modeling, design of engineering experiments, and statistical process control from experts in these topics makes the book especially useful as a reference.

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