Hybrid Censoring: Models, Methods and Applications

1st Edition

for Engineering and Bio Health


  • N. Balakrishnan
  • Debasis Kundu
  • Print book


     Not Yet Available

    Pre Order


    Hybrid Censoring: Models, Methods and Applications for Engineering and Bio Health focuses on hybrid censoring, a specific yet 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.

    The existing literature on censoring methodology, life-testing procedures, or 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 by providing readers with valuable information on these topics. The statistical tools presented are applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography.

    Key Features

    • Presents many numerical examples to adequately illustrate all the inferential methods discussed
    • Provides open problems and possible directions for future work
    • Reviews developments pertaining to Type-II HCS, and includes the most recent research and trends
    • Explains why the hybrid censored sampling is important
    • Provides detail in using HCS under different settings and the designs of HCS
    • Includes R code on website for ease of use


    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

    Table of Contents

    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


    No. of pages:
    © 2017
    Academic Press
    Print ISBN:
    Electronic ISBN:

    About the authors

    N. Balakrishnan

    Professor Narayanaswamy Balakrishnan, Professor of Statistics, Department of Mathematics and Statistics McMaster University Hamilton, Ontario, Canada & visiting Professor, King Abdulaziz University, Jeddah, Saudi Arabia. Balakrishnan is a statistical distribution theorist and books powerhouse with 16 authored books, 4 authored handbooks, and 27 edited books under his name. He is current Editor-in-Chief of Communications in Statistics, and for the revised Encyclopedia of Statistical Sciences published by Wiley.