Complete f -moment convergence for m -asymptotic negatively associated random variables and related statistical applications
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Publication:6669465
DOI10.1080/10485252.2023.2280004MaRDI QIDQ6669465
Xuejun Wang, Xi Chen, Tien-Chung Hu, Andrei Volodin
Publication date: 22 January 2025
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
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- On consistency of least square estimators in the simple linear EV model with negatively orthant dependent errors
- Estimation in partial linear EV models with replicated observations
- Some limit behaviors for the LS estimator in simple linear EV regression models
- Complete moment convergence for negatively orthant dependent random variables and its applications in statistical models
- Asymptotic normality in partial linear models based on dependent errors
- Panel data from time series of cross-sections
- Convergence rates for parametric components in a partly linear model
- On the spectral density and asymptotic normality of weakly dependent random fields
- Weighted version of strong law of large numbers for a class of random variables and its applications
- Consistency of LS estimator in simple linear EV regression models
- Strong laws of large numbers for weighted sums of random elements in normed linear spaces
- Negative association of random variables, with applications
- Convergence rates in the strong laws of asymptotically negatively associated random fields
- Asymptotic properties of LS estimators in the errors-in-variables model with MD errors
- Strong convergence properties for weighted sums of \(m\)-asymptotic negatively associated random variables and statistical applications
- Complete \(f\)-moment convergence for Sung's type weighted sums and its application to the EV regression models
- Strong laws for weighted sums of random variables satisfying generalized Rosenthal type inequalities
- The von Bahr-Esseen moment inequality for pairwise independent random variables and applications
- Strong and weak consistency of least squares estimators in simple linear EV regression models
- Semiparametric quantile regression with random censoring
- Complete \(f\)-moment convergence for extended negatively dependent random variables
- Complete convergence for weighted sums of NSD random variables and its application in the EV regression model
- Strong laws for weighted sums of \(\psi \)-mixing random variables and applications in errors-in-variables regression models
- Complete moment convergence for weighted sums of weakly dependent random variables and its application in nonparametric regression model
- Fixed-design semiparametric regression for linear time series
- Asymptotics of estimators in semi-parametric model under NA samples
- Inequalities of maximum of partial sums and weak convergence for a class of weak dependent random variables
- Complete moment convergence for m-ANA random variables and statistical applications
- A combined estimator in the simple errors-in-variables model
- Some general strong laws for weighted sums of stochastically dominated random variables
- Complete convergence for weighted sums of i.i.d. random variables with applications in regression estimation and EV model
- Almost sure convergence for weighted sums of φ-mixing random variables with applications
- Complete Convergence and the Law of Large Numbers
- Complete f-moment convergence for arrays of rowwise m-negatively associated random variables and its statistical applications
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