Type: Article
Publication Date: 1972-04-01
Citations: 163
DOI: https://doi.org/10.1214/aoms/1177692622
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.