Applied Life Data Analysis von Wayne B. Nelson | ISBN 9780471725220

Applied Life Data Analysis

von Wayne B. Nelson
Buchcover Applied Life Data Analysis | Wayne B. Nelson | EAN 9780471725220 | ISBN 0-471-72522-6 | ISBN 978-0-471-72522-0
Leseprobe
„... a significant and comprehensive resource... available in anattractive and reasonably priced format.“ (Technometrics, August 2005) „... an excellent addition to a six-sigma program... as well as auseful resource for the reliability engineer or student instatistics. The book is also applicable to many other fields...“(IEEE Electrical Insulation Magazine, July/August 2005) „... extremely useful for courses on life dataanalysis, statistical quality control and product marketing.“(Zentralblatt Math, Vol.1054, No.05, 2005)

Applied Life Data Analysis

von Wayne B. Nelson
WILEY-INTERSCIENCE PAPERBACK SERIES
The Wiley-Interscience Paperback Series consists of selectedbooks that have been made more accessible to consumers in an effortto increase global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists.
"Many examples drawn from the author's experience ofengineering applications are used to illustrate the theoreticalresults, which are presented in a cookbook fashion... it provides anexcellent practical guide to the analysis of product-lifedata."
-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 widelyused by thousands of engineers and industrial statisticians toobtain information from life data on consumer, industrial, andmilitary products. Organized to serve practitioners, this bookstarts with basic models and simple informative probability plotsof life data. Then it progresses through advanced analyticalmethods, including maximum likelihood fitting of advanced models tolife data. All data analysis methods are illustrated with numerousclients' applications from the author's consulting experience.