The Wiley Interscience Paperback Series consists of selected books that have been made 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 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....
|Title||:||Accelerated Testing: Statistical Models, Test Plans, and Data Analysis|
|Number of Pages||:||197 Pages|
|File Size||:||571 KB|
|Status||:||Available For Download|
|Last checked||:||21 Minutes ago!|
Accelerated Testing: Statistical Models, Test Plans, and Data Analysis Reviews
The author comes from GE background which did extensive accelerated testing on a variety of product types. Introductory material in advanced statistical modeling of acceleration mechanism using different distribution functions: exp, gauss, weibull, and others. Excellent blend of math, statistics, and practical experimental techniques. A great reference book.
Compared to what you can found for free on the web today the content has to be improved or at least have a companion website to download test files or detailed mathematical proofs.
Solid reference for both beginners and experienced readers. Author provides great synonyms for readers from various backgrounds.
This is undoubtedly the best book in quantitative accelerated life testing. Dr.Nelson does an excellent job in clearly explaining the statistical models and the life data analysis concepts related to accelerated testing. I cant think of any other book that comes even close to this work. A great reference for anyone interested in Accelerated Testing.
Nelson is a private consultant who has worked on countless practical problems in reliability from his consulting practice and previous employment at General Electric. He is an excellent lecturer and writer. His earlier book "Applied Life Data Analysis" was considered to be one of the best texts on reliability.
I agree with the previous reviewer that this is the definitive classic in accelerated life testing. It's a great companion volume to Dr. Nelson's "Applied Life Data Analysis" which remains one of the best reliability textbooks ever written. I have noticed that all major reliability and accelerated testing programs use this book as their main reference - proof of the books usefulness. My only compaint is with the publishers for the steep price - now that they're bringing out a lower cost version of Applied Life Data Analysis, I hope they'll bring out a low-cost or paperback version of this classic as well.
Dr. Taylor does his usual great job covering a difficult subject - ties in well with his "Applied Life Data Analysis", the revered reliability resource. Because of his GE background, he emphasizes experimental plans and analysis methods (i.e.: partially censored) which permit you to make good predictions regarding a product or system while you are still collecting data (e.g.: management wants an answer NOW, even if the experiment is not completed). A few more examples of how "typical" systems behave would be helpful, but otherwise a great resource.