Hybrid Censoring: Models, Methods and Applications: for Engineering and Bio Health

Hybrid Censoring: Models, Methods and Applications for Engineering and Bio Health focuses on hybrid censoring, a specific, but important topic in censoring methodology that has numerous applications.

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.

As existing literature on censoring methodology, life-testing procedures, or lifetime data analysis provide only hybrid censoring schemes and little information on the methodologies, ideas, and statistical inferential methods for hybrid censoring, this book fills that gap, giving readers valuable information on these topics.

The statistical tools presented within are applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography.

• Presents many numerical examples to adequately illustrate all the inferential methods discussed
• Provides open problems and possible directions for future work
• Reviews developments pertaining to Type-II HCS, and includes the most recent research and trends
• Explains why the hybrid censored sampling is important
• Provides detail in using HCS under different settings and the designs of HCS
• Includes R code on website for ease of use