Some practical and theoretical issues related to the quantile estimators

Cites Work

Title not available (Why is that?)
Title not available (Why is that?)
The Bahadur representation for sample quantiles under strongly mixing sequence
A remark on the Bahadur representation of sample quantiles for negatively associated sequences
Berry-Esséen bound of sample quantiles for $\varphi $-mixing random variables
On Bahadur representation for sample quantiles under $\alpha$-mixing sequence
The Bahadur representation for sample quantiles under negatively associated sequence
Complete convergence for weighted sums of $\rho \ast $-mixing random variables
On the central limit theorem for $\rho$-mixing sequences of random variables
On the spectral density and asymptotic normality of weakly dependent random fields
On deviations between empirical and quantile processes for mixing random variables
Almost-sure results for a class of dependent random variables
Uniformly asymptotic normality of the regression weighted estimator for negatively associated samples.
The law of iterated logarithm for negatively associated random variables
Negative association of random variables, with applications
Maximal inequalities and an invariance principle for a class of weakly dependent random variables
Maximal inequalities for partial sums of $\rho$-mixing sequences
The Bahadur representation of sample quantiles for sequences of strongly mixing random variables
The Bahadur representation for sample quantiles under dependent sequence
The Berry-Esseen bounds of the weighted estimator in a nonparametric regression model
The Berry-Esséen bound of sample quantiles for NA sequence
The Bahadur representation for sample quantiles under weak dependence
On the Bahadur representation of sample quantiles and order statistics for NA sequences
Limiting behaviour of moving average processes under $\varphi $-mixing assumption
Asymptotic properties for estimates of nonparametric regression models based on negatively associated sequences
The Bahadur representation for sample quantile under NOD sequence
Moment Conditions for Almost Sure Convergence of Weakly Correlated Random Variables
On the Central Limit Theorem for $\varphi$-Mixing Arrays of Random Variables
Some Limit Theorems for Random Functions. I
On Strong Mixing Conditions for Stationary Gaussian Processes
On a semiparametric regression model whose errors form a linear process with negatively associated innovations
A comparison of quantile estimators
The Bahadur representation of sample quantiles for φ-mixing random variables and its application
On the Bahadur representation of sample quantiles for ψ-mixing sequences and its application
A Note on Quantiles in Large Samples

This page was built for publication: Some practical and theoretical issues related to the quantile estimators

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6581360)