
Let Z(m,n) represent the mth largest (reverse) order statistic in a random sample of size n from a distribution F. Further let \(m=m(n)\) be an intermediate sequence of (n) in the sense that m/n\(\to 0\) and \(m\to \infty\) as \(n\to \infty\). The author finds the asymptotic joint distribution of order statistics of the form Z([mt],n), where \(00\) and \(\beta (.)>0.\) The author indicates that the joint distribution of these order statistics may be used for making statistical inferences about the upper tail of F, but this question is not pursued any further.
Asymptotic distribution theory in statistics, Intermediate order statistics, Central limit and other weak theorems, asymptotic joint distribution of order statistics, Multivariate distribution of statistics, Pareto, extremal distribution, 60F05, 62H05, intermediate sequence, 60J65, Order statistics; empirical distribution functions, domain of attraction
Asymptotic distribution theory in statistics, Intermediate order statistics, Central limit and other weak theorems, asymptotic joint distribution of order statistics, Multivariate distribution of statistics, Pareto, extremal distribution, 60F05, 62H05, intermediate sequence, 60J65, Order statistics; empirical distribution functions, domain of attraction
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