Hybrid Censoring: Models, Methods and Applications book cover

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.

Audience
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.

Hardbound, 320 Pages

Published: October 2015

Imprint: Academic Press

ISBN: 978-0-12-398387-9

Reviews

  • 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.

Contents

  • 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

Advertisement

advert image