Название: Hybrid Censoring Know-How: Designs and Implementations
Автор: N. Balakrishnan, Erhard Cramer, Debasis Kundu
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 703
Язык: английский
Формат: pdf
Размер: 21.7 MB

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.

Life science and engineering scientists and researchers who need to analyze censored or truncated life time data and students, researchers and practitioners in different areas such as statistics, industrial engineering and clinical trials.

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