A simple application of binomial -- negative binomial relationship in the derivation of sharp bounds for moments of order statistics based on greatest convex minorants
From MaRDI portal
Publication:1314726
DOI10.1016/0167-7152(93)90019-FzbMath0791.62053OpenAlexW1983016317MaRDI QIDQ1314726
Publication date: 27 March 1994
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-7152(93)90019-f
Cauchy-Schwarz inequalityextreme order statisticsbinomial -- negative binomial relationshipgreatest convex minorantssharp bound for expected values of order statistics
Related Items (11)
Bounds on expectation of order statistics from a finite population ⋮ OPTIMAL MOMENT INEQUALITIES FOR ORDER STATISTICS FROM NONNEGATIVE RANDOM VARIABLES ⋮ Progressive censoring methodology: an appraisal (with comments and rejoinder) ⋮ Bounds based on greatest convex minorants for moments of record values ⋮ Sharp bounds for the expected value of order statistics ⋮ Sharp bounds on the expectations of L-statistics expressed in the Gini mean difference units ⋮ Evaluating expectations of \(L\)-statistics by the Steffensen inequality ⋮ Bounds for means and variances of progressive type II censored order statistics ⋮ Bounds on expectations of small order statistics from decreasing density populations ⋮ Bounds on the expectations of \(L\)-statistics based on iid life distributions ⋮ Maximal Expectations of Extreme Order Statistics from Increasing Density and Failure Rate Populations
Cites Work
This page was built for publication: A simple application of binomial -- negative binomial relationship in the derivation of sharp bounds for moments of order statistics based on greatest convex minorants
