Abstract
Two theorems on the asymptotic normality of linear combinations of functions of order statistics are given. Theorem 1 requires a smooth scoring function but the underlying df need not be continuous even and can also depend on the sample size. Theorem 2 allows general scoring functions but places additional restrictions on the df. Applications included.
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