Miller & Freund's Probability and Statistics for Engineers (Classic Version) by Johnson, Richard

Miller & Freund's Probability and Statistics for Engineers (Classic Version) (Paperback) (ISBN-13: 9780134995380)

Vendor: Richard Johnson
Product type: Books
Format: Paperback
$139.99
$139.99
$139.99
Subtotal: $139.99
Miller & Freund's Probability and Statistics for Engineers (Classic Version) by Johnson, Richard

Miller & Freund's Probability and Statistics for Engineers (Classic Version)

$139.99
Miller & Freund's Probability and Statistics for Engineers (Classic Version) by Johnson, Richard

Miller & Freund's Probability and Statistics for Engineers (Classic Version)

$139.99
Format: Paperback
Description
Description
x

Miller & Freund's Probability and Statistics for Engineers is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications. Much of the data has been collected from the author's own consulting experience and from discussions with scientists and engineers about the use of statistics in their fields. In later chapters, the text emphasizes designed experiments, especially 2-level factorial design. The 9th Edition includes several new datasets and examples showing application of statistics in scientific investigations, familiarizing students with the latest methods, and readying them to become real-world engineers and scientists.

This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price.



Author: Richard Johnson, Irwin Miller, John Freund
ISBN-10: 0134995384
ISBN-13: 9780134995380
Publisher: Pearson
Language: English
Published: 03/14/2018
Pages: 552
Format: Paperback
Weight: 1.85lbs
Size: 9.90h x 7.90w x 0.90d
By Richard Johnson
By Richard Johnson
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About our author

Richard Johnson is the co-author of 7 statistics texts and monographs, including Probability and Statistics for Engineers and Applied Multivariate Statistical Analysis. He was the founding editor of Statistics and Probability Letters and served as editor for 25 years. Besides many years of experience in teaching all levels of statistics courses at the University of Wisconsin, he has published more than 120 technical papers concentrating in the areas of reliability and life testing, multivariate analysis, large sample theory, and applications to engineering. Johnson has presented talks on his research in 23 foreign countries. He is an elected member of the International Statistical Institute, a Fellow of the American Statistical Association, a Fellow of the Institute of Mathematical Statistics, and a Fellow of the Royal Statistical Society.

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