TY  - BOOK
AU  - Balakrishnan,N.
AU  - Cramer,Erhard
TI  - Art of progressive censoring: applications to reliability and quality 
T2  - Statistics for industry and technology
SN  - 9780817648060
U1  - 000SA.081 23
PY  - 2014///
CY  - New York :   
PB  - Springer,  
KW  - Censored observations (Statistics)
KW  - Statistical Theory and Methods
N1  - Includes bibliographical references and indexes; Part I: Distribution Theory and Models --
1. Progressive censoring: Data and models --
2. Progressive Type-II censoring: Distribution theory --
3. Further distributional results on progressive Type-II censoring --
4. Progressive Type-I censoring: Basic properties --
5. Progressive hybrid censoring: Distributions and properties --
6. Adaptive progressive Type-II censoring and related models --
7. Moments of progressively Type-II censored order statistics --
8. Simulation of progressively censored order statistics --
9. Information Measures --
10. Progressive Type-II censoring under non-standard conditions --

Part II: Inference --
11. Linear estimation in progressive Type-II censoring --
12. Maximum likelihood estimation in progressive Type-II censoring --
13. Point estimation in progressive Type-I censoring --
14. Progressive hybrid and adaptive censoring and related inference --
15. Bayesian inference for progressively Type-II censored data --
16. Point prediction from progressively Type-II censored samples --
17. Statistical intervals for progressively Type-II censored data --
18. Progressive Type-I interval censored data --
19. Goodness-of-fit-tests in progressive Type-II censoring --
20. Counting and quantile processes and progressive censoring --
21. Nonparametric inferential issues in progressive Type-II censoring --

Part III: Applications in Survival Analysis and Reliability --
22. Acceptance sampling plans --
23. Accelerated life-testing --
24. Stress-strength models with progressively censored data --
25. Multi-sample models --
26. Optimal experimental designs --
Appendix A: Distributions --
Appendix B: Additional demonstrative data sets --
 Notation --
 References --
 Author index --
 Subject index
N2  - The Art of Progressive Censoring is a valuable reference for graduate students, researchers, and practitioners in applied statistics, quality control, life testing, and reliability. With its accessible style and concrete examples, the work may also be used as a textbook in advanced undergraduate orbeginning graduate courses on censoring or progressive censoring, as well as a supplementary textbook for a course on ordered data.
ER  -