Upper non positive bounds on expectations of generalized order statistics from DD and DDA populations

Agnieszka Goroncy

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 24, 11972-11987

Abstract: We present the upper non positive bounds on the expectations of gOSs centered about the sample mean, which are based on the parent distributions with decreasing density and decreasing density on average distributions. Such bounds can be obtained only for particular cases of gOSs and they are expressed in units generated by the central absolute moments of a fixed order. The attainability conditions are also described. The method of deriving presented bounds is based on the maximization of appropriate norms over properly chosen convex sets. The paper complements the results of Bieniek [J. Statist. Plann. Inference, 2008; 138:971–981].

Date: 2017
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DOI: 10.1080/03610926.2017.1288250

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