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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.

Censored observations (Statistics) --- Engineering --- Statistical methods. --- Engineering statistics --- Engineering mathematics --- Censored data (Statistics) --- Censoring (Statistics) --- Mathematical statistics --- Biomedical engineering --- Statistics as Topic --- Models, Statistical --- Statistics as Topic. --- Models, Statistical.

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• Reference Manager
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Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)