Balakrishnan / Kundu / Cramer Hybrid Censoring: Models, Methods and Applications

for Engineering and Bio Health
1. Auflage 2013
ISBN: 978-0-12-398390-9
Verlag: Academic Press
Format: EPUB
Kopierschutz: 6 - ePub Watermark

E-Book, Englisch, 406 Seiten, Format (B × H): 155 mm x 234 mm

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. - Presents many numerical examples to adequately illustrate all inferential methods discussed - Mentions some open problems and possible directions for future work - Reviews developments on Type-II and Type-I HCS, including the most recent research and trends - Explains why hybrid censored sampling is important in practice - Provides details about the use of HCS under different settings and on various designs of HCS - Describes the use of hybrid censoring in other reliability applications such as reliability sampling plans, step-stress testing, and quality control

Narayanaswamy Balakrishnan is a distinguished university professor in the Department of Mathematics and Statistics at McMaster University Hamilton, Ontario, Canada. He is an internationally recognized expert on statistical distribution theory, and a book-powerhouse with over 24 authored books, four authored handbooks, and 30 edited books under his name. He is currently the Editor-in-Chief of Communications in Statistics published by Taylor & Francis. He 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. In 2016, he was awarded an Honorary Doctorate from The National and Kapodistrian University of Athens, Athens, Greece. In 2021, he was elected as a Fellow of the Royal Society of Canada.

Autoren/Hrsg.

Balakrishnan, N.

Balakrishnan, Narayanaswamy

Kundu, Debasis Dr.

Cramer, Erhard

Kundu, Debasis

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung

Inhaltsverzeichnis

Preface, Chapter 1. Introduction, Chapter 2. Basic Forms of Censoring, Chapter 3. Models of Hybrid Censoring, Chapter 4. Type-I HCS, Chapter 5. Type-II HCS, Chapter 6. Generalized HCS, Chapter 7. HCS in Presence of Competing Risks, Chapter 8. Type-I Progressive HCS, Chapter 9. Type-II Progressive HCS, Chapter 10. Adaptive Progressive HCS, Chapter 11. Step-Stress Tests with HCS, Chapter 12. Reliability Sampling Plans with HCS, Chapter 13. Some Other Developments on HCS, Bibliography