The Art of Progressive Censoring Applications to Reliability and Quality
This monograph offers a thorough and updated guide to the theory and methods of progressive censoring, an area that has experienced tremendous growth in recent years. Progressive censoring, originally proposed in the 1950s, is an efficient method of handling samples from industrial experiments invol...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Birkhäuser
2014, 2014
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| Edition: | 1st ed. 2014 |
| Series: | Statistics for Industry and Technology
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Part I: Distribution Theory and Models
- Progressive censoring: Data and models
- Progressive Type-II censoring: Distribution theory
- Further distributional results on progressive Type-II censoring
- Progressive Type-I censoring: Basic properties
- Progressive hybrid censoring: Distributions and properties
- Adaptive progressive Type-II censoring and related models
- Moments of progressively Type-II censored order statistics
- Simulation of progressively censored order statistics
- Information Measures
- Progressive Type-II censoring under non-standard conditions
- Part II: Inference
- Linear estimation in progressive Type-II censoring
- Maximum likelihood estimation in progressive Type-II censoring
- Point estimation in progressive Type-I censoring
- Progressive hybrid and adaptive censoring and related inference
- Bayesian inference for progressively Type-II censored data
- Point prediction from progressively Type-II censored samples
- Statistical intervals for progressively Type-IIcensored data
- Progressive Type-I interval censored data
- Goodness-of-fit-tests in progressive Type-II censoring
- Counting and quantile processes and progressive censoring
- Nonparametric inferential issues in progressive Type-II censoring
- Part III: Applications in Survival Analysis and Reliability
- Acceptance sampling plans
- Accelerated life-testing
- Stress-strength models with progressively censored data
- Multi-sample models
- Optimal experimental designs
- Part IV: Appendices
- Appendix A: Distributions
- Appendix B: Additional demonstrative datasets
- Notation
- References
- Author index
- Subject index