Complete consistency of the estimator of nonparametric regression model under ND sequence
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Publication:2516613
DOI10.1007/s00362-014-0598-2zbMath1317.62029OpenAlexW2126249246MaRDI QIDQ2516613
Publication date: 3 August 2015
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-014-0598-2
Related Items (21)
Weak convergence for weighted sums of negatively associated random variables and its application in nonparametric regression models ⋮ Unnamed Item ⋮ Complete moment convergence for m-END random variables with application to non-parametric regression models ⋮ Complete convergence for weighted sums of WNOD random variables and its applications ⋮ Strong convergence properties for weighted sums of WNOD random variables and its applications in nonparametric regression models ⋮ Complete consistency for the estimator of nonparametric regression model based on \(m\)-END errors ⋮ Weak and strong laws of large numbers for arrays of rowwise END random variables and their applications ⋮ On consistency of the weighted estimator in nonparametric regression model with asymptotically almost negatively associated random variables ⋮ On complete and complete moment convergence for weighted sums of ANA random variables and applications ⋮ The Berry-Esseen bound of a wavelet estimator in non-randomly designed nonparametric regression model based on ANA errors ⋮ Laws of large numbers and complete convergence for WOD random variables and their applications ⋮ An exponential inequality and its application to \(M\) estimators in multiple linear models ⋮ Some convergence properties for partial sums of widely orthant dependent random variables and their statistical applications ⋮ COMPLETE MOMENT CONVERGENCE FOR ARRAYS OF ROWWISE NEGATIVELY ASSOCIATED RANDOM VARIABLES AND ITS APPLICATION IN NON-PARAMETRIC REGRESSION MODEL ⋮ Consistency for wavelet estimator in nonparametric regression model with extended negatively dependent samples ⋮ Complete consistency of estimators for regression models based on extended negatively dependent errors ⋮ Complete \(f\)-moment convergence for widely orthant dependent random variables and its application in nonparametric models ⋮ Complete and complete moment convergence for randomly weighted sums ofρ*-mixing random variables and its applications ⋮ On complete consistency for the estimator of nonparametric regression model based on asymptotically almost negatively associated errors ⋮ The Berry-Esseen type bounds of the weighted estimator in a nonparametric model with linear process errors ⋮ Asymptotic normality and mean consistency for the weighted estimator in nonparametric regression models
Cites Work
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