2006
DOI: 10.1016/j.jmva.2005.05.002
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Progressive Type II censored order statistics for multivariate observations

Abstract: For a sequence of independent and identically distributed random vectors. . , n, we consider the conditional ordering of these random vectors with respect to the magnitudes of N(X i ), i = 1, 2, . . . , n, where N is a p-variate continuous function defined on the support set of X 1 and satisfying certain regularity conditions. We also consider the Progressive Type II right censoring for multivariate observations using conditional ordering. The need for the conditional ordering of random vectors exists for exam… Show more

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Cited by 21 publications
(17 citation statements)
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“…, f n (x), respectively. The following theorem generalizes Theorem 1 of [1]. The proofs of the results are presented in the Appendix.…”
Section: Introductionmentioning
confidence: 80%
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“…, f n (x), respectively. The following theorem generalizes Theorem 1 of [1]. The proofs of the results are presented in the Appendix.…”
Section: Introductionmentioning
confidence: 80%
“…In this case the reliability of a system can be represented in various forms depending on the structure of a system. If, for example the system has a series structure then the reliability corresponds to R = P Y < X (1) , where X (r ) denotes the r th smallest (1 ≤ r ≤ n) in X 1 , X 2 , . .…”
Section: Introductionmentioning
confidence: 99%
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“…was considered in Bairamov andStepanov (2010, 2011). The limit β(y) in (4.1) was used for studying the asymptotic behaviour of the number of near minimumconcomitant observations.…”
Section: Discussion When the Sample Size Goes To Infinitymentioning
confidence: 99%
“…One can refer, among others, to Nelson (1982), Lawless (1982), Cohen and Whitten (1988), , Balakrishnan and Cohen (1991), Viveros and Balakrishnan (1994), Sandhu (1995, 1996), Aggarwala and Balakrishnan (1997), Balakrishnan et al (2001a,b), Bairamov and Eryilmaz (2005), and Balakrishnan and Stepanov (2008). To the best of our knowledge, the Progressive type-II censoring in the bivariate case was addressed only in Balakrishnan and Kim (2005), and Bairamov (2006).…”
Section: Introductionmentioning
confidence: 99%