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• W1425283359 abstract "Publisher Summary Coupling convergence of various empirical processes in weighted metrics with an effective quantile function inequality makes quick work of many known limit theorems. This program is followed by many authors since the beginning. The purpose herein is to highlight the use of some highly efficient quantile inequalities that typically can easily demonstrate uniformity in such convergence. It demonstrates this for simple linear rank statistics, permutation statistics, and both the usual and the Bayesian bootstrap of the sample mean. Emphasis is given to the uniformity of such results. Thus, the goal of this paper is to examine asymptotic normality for many situations by using the outlined approach. This has two added benefits over the classical proofs." @default.
• W1425283359 created "2016-06-24" @default.
• W1425283359 creator A5049742884 @default.
• W1425283359 date "1998-01-01" @default.
• W1425283359 modified "2023-09-27" @default.
• W1425283359 title "Applications of Weighted Approximations Via Quantile Inequalities" @default.
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• W1425283359 doi "https://doi.org/10.1016/b978-044450083-0/50011-3" @default.
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