Hybrid Censoring Know-How
Designs and Implementations

This comprehensive review of hybrid censoring research highlights recent developments in the field and related practical applications

Narayanaswamy Balakrishnan (Author), Erhard Cramer (Author), Debasis Kundu (Author)

9780123983879, Elsevier Science

Hardback, published 11 January 2023

406 pages
23.4 x 15.6 x 2.7 cm, 1 kg

Hybrid Censoring Know-How: Models, Methods and Applications focuses on hybrid censoring, an important topic in censoring methodology with numerous applications. The readers will find information on the significance of censored data in theoretical and applied contexts, and descriptions of extensive data sets from life-testing experiments where these forms of data naturally occur. The existing literature on censoring methodology, life-testing procedures, and lifetime data analysis provides only hybrid censoring schemes, with little information about hybrid censoring methodologies, ideas, and statistical inferential methods. This book fills that gap, featuring statistical tools applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography.

1. Introduction2. Preliminaries3. Inference for Type-II, Type-I, and progressive censoring4. Models and distributional properties of hybrid censoring designs5. Inference for exponentially distributed lifetimes6. Inference for other lifetime distributions7. Progressive hybrid censored data8. Informationmeasures9. Step-stress testing10. Applications in reliability11. Goodness-of-fit tests12. Prediction methods13. Adaptive progressive hybrid censoringAppendix

Subject Areas: Engineering: general [TBC], Probability & statistics [PBT], Mathematics [PB]