E-Book, Englisch, 656 Seiten, E-Book
Nelson Applied Life Data Analysis
1. Auflage 2005
ISBN: 978-0-471-72522-0
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 656 Seiten, E-Book
Reihe: Wiley Series in Probability and Statistics
ISBN: 978-0-471-72522-0
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
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.
Autoren/Hrsg.
Weitere Infos & Material
Preface to the Paperback Edition.
Preface.
About the Author.
1. Overview and Background.
2. Basic Concepts and Distributions for Product Life.
3. Probability Plotting of Complete and Singly CensoredData.
4. Graphical Analysis of Multiply Censored Data.
5. Series Systems and Competing Risks.
6. Analysis of Complete Data.
7. Linear Methods for Singly Censored Data.
8. Maximum Likelihood Analysis of Multiply Censored Data.
9. Analyses of Inspection Data (Qualtal-Response and IntervalData).
10. Comparisons (Hypothesis Tests) For Complete Data.
11. Comparisons with Linear Estimators (Singly Censored andComplete Data).
12. Maximum Likelihood Comparisons (Multiply Censored and OtherData).
13. Survey of Other Topics.
Appendix A. Tables..
References.
Index.




