Limit Theory for Joint Generalized Order Statistics

In Kamps [7] generalized order statistics (gos) have been introduced as a unifying theme for several models of ascendingly ordered random variables (rv’s). The main aim of this paper is to study the limit joint distribution function (df) of any two statistics in a wide subclass of the gos model kno...

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Main Authors: H.M. Barakat, E.M. Nigm, M.A. Abd Elgawad
Format: Article
Language:English
Published: Instituto Nacional de Estatística | Statistics Portugal 2014-12-01
Series:Revstat Statistical Journal
Subjects:
Online Access:https://revstat.ine.pt/index.php/REVSTAT/article/view/151
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author H.M. Barakat
E.M. Nigm
M.A. Abd Elgawad
author_facet H.M. Barakat
E.M. Nigm
M.A. Abd Elgawad
author_sort H.M. Barakat
collection DOAJ
description In Kamps [7] generalized order statistics (gos) have been introduced as a unifying theme for several models of ascendingly ordered random variables (rv’s). The main aim of this paper is to study the limit joint distribution function (df) of any two statistics in a wide subclass of the gos model known as m-gos. This subclass contains many important practical models of gos such as ordinary order statistics (oos), order statistics with non-integer sample size, and sequential order statistics (sos). The limit df’s of lower-lower extreme, upper-upper extreme, lower-upper extreme, centralcentral and lower-lower intermediate m-gos are obtained. It is revealed that the convergence of the marginals m-gos implies the convergence of the joint df. Moreover, the conditions, under which the asymptotic independence between the two marginals occurs, are derived.
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spelling doaj.art-de8489c6f8f349268d889e81dd21b06f2022-12-22T02:15:39ZengInstituto Nacional de Estatística | Statistics PortugalRevstat Statistical Journal1645-67262183-03712014-12-0112310.57805/revstat.v12i3.151Limit Theory for Joint Generalized Order StatisticsH.M. Barakat 0E.M. Nigm 1M.A. Abd Elgawad 2Zagazig UniversityZagazig University Benha University In Kamps [7] generalized order statistics (gos) have been introduced as a unifying theme for several models of ascendingly ordered random variables (rv’s). The main aim of this paper is to study the limit joint distribution function (df) of any two statistics in a wide subclass of the gos model known as m-gos. This subclass contains many important practical models of gos such as ordinary order statistics (oos), order statistics with non-integer sample size, and sequential order statistics (sos). The limit df’s of lower-lower extreme, upper-upper extreme, lower-upper extreme, centralcentral and lower-lower intermediate m-gos are obtained. It is revealed that the convergence of the marginals m-gos implies the convergence of the joint df. Moreover, the conditions, under which the asymptotic independence between the two marginals occurs, are derived. https://revstat.ine.pt/index.php/REVSTAT/article/view/151generalized order statisticsgeneralized extreme order statisticsgeneralized central order statisticsgeneralized intermediate order statistics
spellingShingle H.M. Barakat
E.M. Nigm
M.A. Abd Elgawad
Limit Theory for Joint Generalized Order Statistics
Revstat Statistical Journal
generalized order statistics
generalized extreme order statistics
generalized central order statistics
generalized intermediate order statistics
title Limit Theory for Joint Generalized Order Statistics
title_full Limit Theory for Joint Generalized Order Statistics
title_fullStr Limit Theory for Joint Generalized Order Statistics
title_full_unstemmed Limit Theory for Joint Generalized Order Statistics
title_short Limit Theory for Joint Generalized Order Statistics
title_sort limit theory for joint generalized order statistics
topic generalized order statistics
generalized extreme order statistics
generalized central order statistics
generalized intermediate order statistics
url https://revstat.ine.pt/index.php/REVSTAT/article/view/151
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