Fisher information in hybrid censored data

Sangun Park, N. Balakrishnan, Gang Zheng

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


A hybrid censoring is a mixture of Type I and II censoring. Type I and Type II hybrid censoring models are considered in this work. When n items are placed on a life-test, the experiment terminates under the Type I (Type II) hybrid censoring when either the r-th failure (1 ≤ r ≤ n) or the pre-determined censoring time T comes first (later). We study the decomposition of Fisher information in both hybrid censored data, and show that the Fisher information satisfies an additive rule in the case of hybrid censored data. The results are then applied to exponential and Weibull distributions for illustrative purposes.

Original languageEnglish
Pages (from-to)2781-2786
Number of pages6
JournalStatistics and Probability Letters
Issue number16
Publication statusPublished - 2008 Nov

Bibliographical note

Funding Information:
The authors are grateful to an anonymous referee for his careful comments. Park’s research was supported in part by the Fund for supporting basic science research in the College of Business and Economics of Yonsei University. Professor N. Balakrishnan would like to thank the Natural Sciences and Engineering Research Council of Canada for funding this research and the visit of Professor Sangun Park to McMaster University during the summer of 2006.

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


Dive into the research topics of 'Fisher information in hybrid censored data'. Together they form a unique fingerprint.

Cite this