Limit distributions of order statistics with random indices in a stationary Gaussian sequence

H. M. Barakat, E. M. Nigm and E. O. Abo Zaid

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 14, 7099-7113

Abstract: In this article, we study the limit distributions of the extreme, intermediate, and central order statistics (os) of a stationary Gaussian sequence under equi-correlated setup. When the random sample size is assumed to converge weakly and to be independent of the basic variables, the sufficient (and in some cases the necessary) conditions for the convergence are derived. Finally, we show that the obtained result for the maximum os, with random sample size, is also applicable in the case of the non constant correlation case.

Date: 2017
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DOI: 10.1080/03610926.2016.1148732

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