Order Statistics From Mixed Exchangeable Random Variables

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Date

2011

Authors

Bairamov Ismihan

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Science Bv

Open Access Color

HYBRID

Green Open Access

No

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Top 10%
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Abstract

Two different exchangeable samples are considered and these two samples are assumed to be independent of each other. From these two samples a new sample is combined and treated as a single set of observations. The distribution of a single order statistic and the joint distribution of two order statistics for a new mixed sample are derived and expressed in terms of joint distribution functions. As a special case the distribution of a single order statistic and the joint distribution of two nonadjacent order statistics from exchangeable random variables are obtained. The results presented in this paper allows widespread applications in modelling of various lifetime data, biomedical sciences, reliability and survival analysis, actuarial sciences etc., where the assumption of independence of data cannot be accepted and the exchangeability is a more realistic assumption. (C) 2010 Elsevier B.V. All rights reserved.

Description

14th International Congress on Computational and Applied Mathematics (ICCAM) -- SEP 29-OCT 02, 2009 -- Antalya, TURKEY

Keywords

Order statistics, Exchangeable random variables, Distribution function, Residual Life Function, Systems, Computational Mathematics, Applied Mathematics, order statistics, Exchangeability for stochastic processes, Order statistics; empirical distribution functions, distribution function, exchangeable random variables

Fields of Science

0101 mathematics, 01 natural sciences

Citation

WoS Q

Q1

Scopus Q

Q1
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OpenCitations Citation Count
14

Source

Journal of Computatıonal And Applıed Mathematıcs

Volume

235

Issue

16

Start Page

4629

End Page

4638
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CrossRef : 9

Scopus : 17

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Mendeley Readers : 5

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17

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Web of Science™ Citations

15

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5

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Downloads

30

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