Accelerated Testing: Statistical Models, Test Plans, and Data Analysis (Wiley Series in Probability and Statistics)
Language: English
Published by Wiley-Interscience, 1990
Series: Book 119 of 358 - Wiley Series in Probability and Statistics
- Hardcover
- Used

Seller: thebookforest.com, San Rafael, CA, U.S.A.thebookforest.com
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Condition: Used - Good
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Add to basketItem description from seller
Binding is unblemished, text block is clean, boards straight, without highlights or markings. Mild rubbing/chipping to dust wrapper edges. Previous owners name stamped lightly on fore-edge. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.
Seller Inventory # BAY_14_SH_030906
- Title
- Accelerated Testing: Statistical Models, Test Plans, and Data Analysis (Wiley Series in Probability and Statistics)
- Author
- Nelson, Wayne B.
- Publisher
- Wiley-Interscience
- Publication year
- 1990
- Condition
- Good
- Dust jacket
- Dust Jacket Included
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471522775
- ISBN 13
- 9780471522775
- Series
- Book 119 of 358: Wiley Series in Probability and Statistics
". . . a goldmine of knowledge on accelerated life testing principles and practices . . . one of the very few capable of advancing the science of reliability. It definitely belongs in every bookshelf on engineering."
–Dev G. Raheja, Quality and Reliability Engineering International
". . . an impressive book. The width and number of topics covered, the practical data sets included, the obvious knowledge and understanding of the author and the extent of published materials reviewed combine to ensure that this will be a book used frequently."
–Journal of the Royal Statistical Society
A benchmark text in the field, Accelerated Testing: Statistical Models, Test Plans, and Data Analysis offers engineers, scientists, and statisticians a reliable resource on the effective use of accelerated life testing to measure and improve product reliability. From simple data plots to advanced computer programs, the text features a wealth of practical applications and a clear, readable style that makes even complicated physical and statistical concepts uniquely accessible. A detailed index adds to its value as a reference source.
"Synopsis" may belong to another edition of this title.
About the Author
DR. WAYNE NELSON IS AWARDED THE SHEWHART MEDAL
American Society for Quality awarded Dr. Wayne Nelson of Schenectady, New York the 2003 Shewhart Medal. The Medal honors his outstanding technical leadership, particularly for innovative developments and applications of theory and methods for analyzing quality, reliability, and accelerated test data, and for widely disseminating such developments through his books and many publications, talks, and courses.
The Shewhart Medal for outstanding technical leadership is named after Dr. Walter A. Shewhart, who pioneered statistical methods for controlling and improving the quality of manufactured products. These methods contributed significantly to the United States' war effort in World War II. Subsequently taken to Japan by Dr. W. Edwards Deming, these methods revolutionized Japan's industries. Today these methods are part of widely used Six Sigma training on how to improve the quality of products and services.
The American Society for Quality is the world's largest professional society dedicated to the improved quality of products and services. It serves its members and the public through a variety of educational activities, including conferences, training courses, journals, and books.
Dr. Nelson is a graduate of the California Institute of Technology (Caltech) and the University of Illinois. Formerly with GE Research & Development, he now privately consults and gives courses for companies, professional societies, and universities. For his technical contributions, he was elected a Fellow of the American Society for Quality, the American Statistical Association, and the Institute of Electrical and Electronic Engineers. He recently spent four months in Argentina on a Fulbright Award, lecturing on analysis of product reliability data.
"About the title" may belong to another edition of this title.
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