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July, 1981 Asymptotic Normality of Linear Combinations of Order Statistics with a Smooth Score Function
David M. Mason
Ann. Statist. 9(4): 899-908 (July, 1981). DOI: 10.1214/aos/1176345531

Abstract

Asymptotic normality of linear combinations of order statistics of the form $T_n = n^{-1} \sum J(i/(n + 1))X_{in}$ is investigated along with a slightly trimmed version of $T_n$. Theorem 5 of Stigler (1974) is extended to show asymptotic normality of $T_n$ for a wide class of score functions. In addition, a proof of Theorem 4 of Stigler (1974) is given.

Citation

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David M. Mason. "Asymptotic Normality of Linear Combinations of Order Statistics with a Smooth Score Function." Ann. Statist. 9 (4) 899 - 908, July, 1981. https://doi.org/10.1214/aos/1176345531

Information

Published: July, 1981
First available in Project Euclid: 12 April 2007

zbMATH: 0472.62057
MathSciNet: MR619294
Digital Object Identifier: 10.1214/aos/1176345531

Subjects:
Primary: 62G30
Secondary: 60F05 , 62E20 , 63G35

Keywords: asymptotic normality , efficient estimation , linear combinations of order statistics

Rights: Copyright © 1981 Institute of Mathematical Statistics

Vol.9 • No. 4 • July, 1981
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