Uniformly asymptotic normality of sample quantiles estimator for linearly negative quadrant dependent samples
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Publication:824704
DOI10.1186/s13660-018-1788-6zbMath1498.62055OpenAlexW2883925782WikidataQ92159543 ScholiaQ92159543MaRDI QIDQ824704
Publication date: 15 December 2021
Published in: Journal of Inequalities and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/s13660-018-1788-6
Asymptotic properties of parametric estimators (62F12) Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05)
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Cites Work
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- Berry-Esséen bound of sample quantiles for negatively associated sequence
- Some inequalities for a LNQD sequence with applications
- The Berry-Esséen type bound of sample quantiles for strong mixing sequence
- Berry-Esséen bound of sample quantiles for \(\varphi \)-mixing random variables
- Consistency and uniformly asymptotic normality of wavelet estimator in regression model with associated samples
- A Berry-Esseen theorem for sample quantiles under weak dependence
- A Berry-Esseen type bound in kernel density estimation for strong mixing censored samples
- Uniformly asymptotic normality of the regression weighted estimator for negatively associated samples.
- Negative association of random variables, with applications
- The Berry-Esséen bound of sample quantiles for NA sequence
- Exponential inequalities and complete convergence for a LNQD sequence
- Berry-esseen bounds for smooth estimator of a distribution function under association
- Some Concepts of Dependence
- A functional central limit theorem for asymptotically negatively dependent random fields
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