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ORDERED DATA ANALYSIS

Shannon Information Properties of the Endpoints of Record Coverage

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Pages 481-493 | Received 08 Aug 2006, Accepted 25 May 2007, Published online: 13 Feb 2008
 

Abstract

This paper addresses the largest and the smallest observations, at the times when a new record of either kind (upper or lower) occurs, which are it called the current upper and lower record, respectively. We examine the entropy properties of these statistics, especially the difference between entropy of upper and lower bounds of record coverage. The results are presented for some common parametric families of distributions. Several upper and lower bounds, in terms of the entropy of parent distribution, for the entropy of current records are obtained. It is shown that mutual information, as well as Kullback–Leibler distance between the endpoints of record coverage, Kullback–Leibler distance between data distribution, and current records, are all distribution-free.

Mathematics Subject Classification:

Acknowledgments

The research was done while the first author was on sabbatical leave at The Australian National University, Canberra. Much appreciation goes to Professor Peter Hall for his hospitality. The authors would like to thank the referee for his/her careful reading and useful comments that improved presentation of the manuscript. This paper was partially supported by the Ordered and Spatial Data Center of Excellence of Ferdowsi University of Mashhad.

Notes

The first author is a member of Ordered and Spatial Data Center of Excellence of Ferdowsi University of Mashhad.

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