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publication name Limit Theory for Bivariate Central and Bivariate Intermediate Dual Generalized order Statistics
Authors H.M. Barakat , E.M. Nigm and M.A. Abd Elgawad
year 2015
keywords Dual generalized order statistics, dual generalized central order statistics, dual generalized intermediate order statistics.
journal PROBABILITY AND MATHEMATICAL STATISTICS
volume Vol. 35, Fasc. 2 (2015), pp. 267–284
issue Not Available
pages 267-284
publisher Not Available
Local/International International
Paper Link Not Available
Full paper download
Supplementary materials Not Available
Abstract

Abstract. Burkschat et al. (2003) have introduced the concept of dual generalized order statistics (dgos) to unify several models that produce descendingly ordered random variables (rv’s) like reversed order statistics, lower k-records and lower Pfeifer records. In this paper we derive the limit distribution functions (df’s) of bivariate central and bivariate intermediate m-dgos. It is revealed that the convergence of the marginals of the m-dgos implies the convergence of the joint df. Moreover, we derive the conditions under which the asymptotic independence between the two marginals occurs.

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