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Applied Life Data Analysis Papeback -
by Wayne Nelson Wayne B. Nelson
- New
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Details
- Title Applied Life Data Analysis
- Author Wayne Nelson Wayne B. Nelson
- Binding Papeback
- Edition Reprint
- Condition New
- Pages 664
- Volumes 1
- Language ENG
- Publisher John Wiley & Sons , Hoboken, New Jersey
- Publication date pp. xix + 634 Index
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- Bookseller's Inventory # 6366066
- ISBN 9780471644620 / 0471644625
- Weight 1.87 lbs (0.85 kg)
- Dimensions 9.28 x 6.36 x 1.17 in (23.57 x 16.15 x 2.97 cm)
- Category Technology & Industrial Arts
- Library of Congress subjects Reliability (Engineering)
- Library of Congress Catalogue Number 2004273137
- Dewey Decimal Code 620.004
- Quantity available 3
About Cold Books New York, United States
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First line
This chapter presents (1) an overview of this book's contents and (2) background information for the rest of the book.
From the rear cover
WILEY-INTERSCIENCE PAPERBACK SERIES
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.
"Many examples drawn from the author's experience of engineering applications are used to illustrate the theoretical results, which are presented in a cookbook fashion...it provides an excellent practical guide to the analysis of product-life data."
-T.M.M. Farley
Special Programme of Research in Human Reproduction
World Health Organization
Geneva, Switzerland
Review in Biometrics, September 1983
Now a classic, Applied Life Data Analysis has been widely used by thousands of engineers and industrial statisticians to obtain information from life data on consumer, industrial, and military products. Organized to serve practitioners, this book starts with basic models and simple informative probability plots of life data. Then it progresses through advanced analytical methods, including maximum likelihood fitting of advanced models to life data. All data analysis methods are illustrated with numerous clients' applications from the author's consulting experience.
