Concomitants in a Sequence of Independent Nonidentically Distributed Random Vectors
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Date
2005
Authors
Eryılmaz, Serkan
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor & Francis Inc
Open Access Color
Green Open Access
No
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Publicly Funded
No
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Average
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Top 10%
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Average
Abstract
Concomitants of order statistics are considered for the situation in which the random vectors (X-1, Y-1), (X-2, Y-2), . . . , (X-n, Y-n) are independent but otherwise arbitrarily distributed. The joint and marginal distributions of the concomitants of order statistics and stochastic comparisons among the concomitants of order statistics are studied in this situation.
Description
ORCID
Keywords
concomitants, permanent, stochastic ordering, stochastically increasing, Order-Statistics, Stochastic Comparisons, Random-Variables, Dependence
Fields of Science
0502 economics and business, 05 social sciences, 0101 mathematics, 01 natural sciences
Citation
WoS Q
Q3
Scopus Q
Q2
OpenCitations Citation Count
13
Source
Communıcatıons in Statıstıcs-Theory And Methods
Volume
34
Issue
9.Eki
Start Page
1925
End Page
1933
PlumX Metrics
Citations
CrossRef : 10
Scopus : 17
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Mendeley Readers : 3
SCOPUS™ Citations
17
checked on Mar 18, 2026
Web of Science™ Citations
15
checked on Mar 18, 2026
Page Views
3
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