Sharp Bounds for Generalized Order Statistics via Logarithmic Moments
ABSTRACT We present sharp bounds for expectations of generalized order statistics with random indices. The bounds are expressed in terms of logarithmic moments E X a (log max {1, X}) b of the underlying observation X. They are attainable and provide characterizations of some non trivial distributions. No restrictions are imposed on the parameters of the generalized order statistics model.