Hybrid Censoring Know-How: Models, Methods and Applications
(Sprache: Englisch)
This book focuses on hybrid censoring, a specific but important topic in censoring methodology, which has numerous applications. Applied statisticians in many fields must frequently analyze time to event data. The statistical tools presented within are...
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Klappentext zu „Hybrid Censoring Know-How: Models, Methods and Applications “
This book focuses on hybrid censoring, a specific but important topic in censoring methodology, which has numerous applications. Applied statisticians in many fields must frequently analyze time to event data. The statistical tools presented within are applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography. This work presents why the analysis of censored data is important from an applied point of view as well as from a theoretical point of view. Extensive data sets from life-testing experiments where these forms of data occur naturally are described. The analysis of survival experiments is complicated by issues of censoring, in which an individual's life length is known to occur only in a certain period, and by truncation, in which individuals enter the study only if they survive a sufficient time or if individuals are included in the study only if the event has occurred by a given date.
The existing literature on censoring methodology, life-testing procedures or lifetime data analysis provide only some hybrid censoring schemes but do not spend a significant amount of time to detail the methodologies, ideas and statistical inferential methods for hybrid censoring. This book fills this gap and provides valuable information on these topics.
Inhaltsverzeichnis zu „Hybrid Censoring Know-How: Models, Methods and Applications “
1. Introduction 2. Basic Forms of Censoring 3. Models of Hybrid Censoring 4. Type-I HCS 5. Type-II HCS 6. Generalized HCS 7. HCS in Presence of Competing Risks 8. Type-I Progressive HCS 9. Type-II Progressive HCS 10. Adaptive Progressive HCS 11. Step-Stress Tests with HCS 12. Reliability Sampling Plans with HCS 13. Some Other Developments on HCS, Bibliography
Autoren-Porträt von Narayanaswamy Balakrishnan, Erhard Cramer, Debasis Kundu
Narayanaswamy Balakrishnan, Distinguished University Professor, is in the Department of Mathematics and Statistics McMaster University Hamilton, Ontario, Canada. Professor Balakrishnan is an internationally recognized expert on statistical distribution theory, and a book-powerhouse with 16 authored books, 4 authored handbooks, and 27 edited books under his name. He is currently the Editor-in-Chief of Communications in Statistics published by Taylor & Francis, and was also the Editor-in-Chief for the revised version of Encyclopedia of Statistical Sciences published by John Wiley & Sons. He is a Fellow of the American Statistical Association and a Fellow of the Institute of Mathematical Statistics, and in 2016 was awarded an Honorary Doctorate for The National and Kapodistrian University of Athens, Athens, Greece.
Bibliographische Angaben
- Autoren: Narayanaswamy Balakrishnan , Erhard Cramer , Debasis Kundu
- 320 Seiten, Maße: 15,6 x 23,4 cm, Gebunden, Englisch
- Verlag: ACADEMIC PR INC
- ISBN-10: 0123983878
- ISBN-13: 9780123983879
- Erscheinungsdatum: 01.07.2022
Sprache:
Englisch
Rezension zu „Hybrid Censoring Know-How: Models, Methods and Applications “
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.
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