Accelerated Testing: Statistical Models, Test Plans, and Data Analysis Contributor(s): Nelson, Wayne B. (Author) |
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ISBN: 0471697362 ISBN-13: 9780471697367 Publisher: Wiley-Interscience OUR PRICE: $161.45 Product Type: Paperback - Other Formats Published: December 2007 Annotation: 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. ." . . 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." ." . . 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." 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. |
Additional Information |
BISAC Categories: - Mathematics | Probability & Statistics - General |
Dewey: 519.5 |
Series: Wiley Series in Probability and Statistics |
Physical Information: 1.16" H x 6.38" W x 8.93" (1.81 lbs) 624 pages |
Descriptions, Reviews, Etc. |
Publisher Description: This practical resource presents modern, statistical methods for accelerated testing including test models, analyses of data, and plans for testing. Each topic is self-contained for easy reference. Coverage is broad and detailed enough to serve as a text or reference. This handy book features real test examples along with data analyses, computer programs, and references to the literature. |