Sharp large deviations for a class of normalized L-statistics and applications
From MaRDI portal
Publication:2066520
DOI10.1007/S00362-019-01109-8zbMath1477.62109OpenAlexW2935903993WikidataQ128020348 ScholiaQ128020348MaRDI QIDQ2066520
Hui Jiang, Jin Shao, Qing-shan Yang
Publication date: 14 January 2022
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-019-01109-8
Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Large deviations (60F10)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- An exponential nonuniform convergence rate for a class of normalized L-statistics
- On the asymptotic normality of finite population \(L\)-statistics
- Cramér type moderate deviations for trimmed \(L\)-statistics
- A directional test of exponentiality based on maximum correlations
- Moderate deviations for a class of L-statistics
- Asymptotic properties of exponentiality tests based on \(L\)-statistics
- Necessary and sufficient conditions for asymptotic normality of \(L\)- statistics
- Multidimensional strong large deviation results
- A scale-free goodness-of-fit statistic for the exponential distribution based on maximum correlations
- On the exact joint distribution of a linear combination of order statistics and their concomitants in an exchangeable multivariate normal distribution
- Large and moderate deviations in testing Rayleigh diffusion model
- Berry–Esseen Bound for a Class of NormalizedL-Statistics
- On Deviations of the Sample Mean
- Sharp large deviations in nonparametric estimation
- Bahadur efficiency and local optimality of a test for the exponential distribution based on the gini statistic
- Sharp Large Deviations for the Ornstein--Uhlenbeck Process
- Sharp large deviations for Gaussian quadratic forms with applications
- Asymptotic properties of a goodness-of-fit test based on maximum correlations
- On the theory of order statistics
This page was built for publication: Sharp large deviations for a class of normalized L-statistics and applications