Cumulative ratio information based on general cumulative entropy

Sangun Park, Ilmun Kim

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this paper, we suggest an extension of the cumulative residual entropy (CRE) and call it generalized cumulative entropy. The proposed entropy not only retains attributes of the existing uncertainty measures but also possesses the absolute homogeneous property with unbounded support, which the CRE does not have. We demonstrate its mathematical properties including the entropy of order statistics and the principle of maximum general cumulative entropy. We also introduce the cumulative ratio information as a measure of discrepancy between two distributions and examine its application to a goodness-of-fit test of the logistic distribution. Simulation study shows that the test statistics based on the cumulative ratio information have comparable statistical power with competing test statistics.

Original languageEnglish
Pages (from-to)563-576
Number of pages14
JournalJournal of Statistical Computation and Simulation
Volume87
Issue number3
DOIs
Publication statusPublished - 2017 Feb 11

Fingerprint

Entropy
Residual Entropy
Test Statistic
Statistics
Uncertainty Measure
Logistics/distribution
Statistical Power
Goodness of Fit Test
Order Statistics
Discrepancy
Attribute
Simulation Study
Logistics
Demonstrate
Test statistic

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Modelling and Simulation
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

Cite this

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Cumulative ratio information based on general cumulative entropy. / Park, Sangun; Kim, Ilmun.

In: Journal of Statistical Computation and Simulation, Vol. 87, No. 3, 11.02.2017, p. 563-576.

Research output: Contribution to journalArticle

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