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 refe
Accelerated Testing: Statistical Models, Test Plans, and Data Analysis 1st edition (Wiley Series in Probability and Statistics)
β Scribed by Wayne B. Nelson
- Publisher
- Wiley-Interscience
- Year
- 1990
- Tongue
- English
- Leaves
- 609
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This practical resource presentsΒ 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.
π SIMILAR VOLUMES
Accelerated Testing Statistical Models, Test Plans, and Data Analyses; Contents; Preface; 1. Introduction and Background; 2. Models for Life Tests with Constant Stress; 3. Graphical Data Analysis; 4. Complete Data and Least Squares Analyses; 5. Censored Data and Maximum Ukelihood Methods; 6. Test P
Acknowledged experts on the subject bring together diverse sources on methods for statistical analysis of data sets with missing values, a pervasive problem for which standard methods are of limited value. Blending theory and application, it reviews historical approaches to the subject, and rigorous
Praise for the First Edition"An indispensable addition to any serious collection on lifetime data analysis and . . . a valuable contribution to the statistical literature. Highly recommended . . ."-Choice"This is an important book, which will appeal to statisticians working on survival analysis prob
Third Edition brings the text up to date with new material and updated references.New content includes an introduction to left and interval censored data; the log-logistic distribution; estimation procedures for left and interval censored data; parametric methods iwth covariates; Cox's proportional
This is the most complete reliability book that I have seen. It is appropriate as both a textbook and a reference. It is well-written and easy to understand. I highly recommend this book for anybody interested in learning reliability theory.