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OPERATOR METHODS IN ORDER STATISTICS
Journal article

OPERATOR METHODS IN ORDER STATISTICS

Abstract

Summary This paper presents operator methods, based on difference and differential operators, for establishing identities satisfied by distributions of order statistics. In addition to deducing many known identities, these operator methods may also be used to derive several new identities for distributions of order statistics.

Authors

Balasubramanian K; Balakrishnan N; Malik HJ

Journal

Australian & New Zealand Journal of Statistics, Vol. 34, No. 3, pp. 489–496

Publisher

Wiley

Publication Date

January 1, 1992

DOI

10.1111/j.1467-842x.1992.tb01064.x

ISSN

1369-1473

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