Cumulative residual Kullback-Leibler information with the progressively Type-II censored data

Sangun Park, Reza Pakyari

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

We propose an extension of Kullback-Leibler information to the survival function, and generalize it to the censored case. We evaluate its performance as a goodness-of-fit test statistic with the progressively Type-II censored data. The new test is evaluated through Monte Carlo Simulations.

Original languageEnglish
Pages (from-to)287-294
Number of pages8
JournalStatistics and Probability Letters
Volume106
DOIs
Publication statusPublished - 2015 Nov 1

Bibliographical note

Funding Information:
The authors are grateful to anonymous referees and the associate editor for providing some useful comments on an earlier version of this manuscript. The work of the first author was supported by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Education ( 2012-004905 ).

Publisher Copyright:
© 2015 Elsevier B.V.

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Fingerprint

Dive into the research topics of 'Cumulative residual Kullback-Leibler information with the progressively Type-II censored data'. Together they form a unique fingerprint.

Cite this