On complete convergence in Marcinkiewicz-Zygmund type SLLN for negatively associated random variables

From MaRDI portal
Publication:532097

DOI10.1007/s10474-009-9166-yzbMath1224.60047OpenAlexW2094057145MaRDI QIDQ532097

Anna Kuczmaszewska

Publication date: 26 April 2011

Published in: Acta Mathematica Hungarica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10474-009-9166-y




Related Items (34)

Complete moment convergence for product sums of sequence of extended negatively dependent random variablesOn the complete convergence for pairwise negatively quadrant dependent random variablesComplete moment convergence of moving average process generated by a class of random variablesStrong convergence theorems for coordinatewise negatively associated random vectors in Hilbert space\(L_p\)-convergence, complete convergence, and weak laws of large numbers for asymptotically negatively associated random vectors with values in \(\mathbb{R}^d\)Complete moment convergence for the linear processes with random coefficients generated by a class of random variablesOn complete moment convergence for nonstationary negatively associated random variablesLimit behaviors of the estimator of nonparametric regression model based on martingale difference errorsOn the complete convergence for sequences of random vectors in Hilbert spacesComplete moment convergence for partial sums of arrays of rowwise negatively superadditive dependent random variablesComplete consistency for the estimator of nonparametric regression model based on martingale difference errorsComplete moment convergence for the widely orthant dependent linear processes with random coefficientsComplete moment convergence for double-indexed randomly weighted sums and its applicationsBaum–Katz type theorems with exact thresholdOn the strong convergence for weighted sums of negatively superadditive dependent random variablesComplete consistency for the estimator of nonparametric regression model based on \(m\)-END errorsThe complete moment convergence for CNA random vectors in Hilbert spacesComplete q-th moment convergence for the maximum of partial sums of m-negatively associated random variables and its application to the EV regression model*Convergence properties for coordinatewise asymptotically negatively associated random vectors in Hilbert spaceLimit behaviors of the estimator of non parametric regression model based on extended negatively dependent errorsComplete moment convergence for weighted sums of widely orthant-dependent random variables and its application in nonparametric regression modelsCOMPLETE MOMENT CONVERGENCE FOR ARRAYS OF ROWWISE NEGATIVELY ASSOCIATED RANDOM VARIABLES AND ITS APPLICATION IN NON-PARAMETRIC REGRESSION MODELConvergence rates in the law of large numbers for arrays of martingale differencesComplete convergence for coordinatewise asymptotically negatively associated random vectors in Hilbert spacesFurther research on complete moment convergence for moving average process of a class of random variablesComplete convergence and strong laws of large numbers for weighted sums of negatively orthant dependent random variablesThe Baum-Katz theorem for dependent sequencesComplete convergence for negatively orthant dependent random variablesComplete moment convergence for maximal partial sums under NOD setupSufficient and necessary conditions of convergence for \(\widetilde{\rho}\)-mixing random variablesOn complete convergence in Marcinkiewicz-Zygmund type SLLN for random variablesConvergence rates in the law of large numbers for arrays of Banach valued martingale differencesComplete convergence theorems for extended negatively dependent random variablesConsistency of the P–C estimator in non parametric regression model based on m-END errors



Cites Work


This page was built for publication: On complete convergence in Marcinkiewicz-Zygmund type SLLN for negatively associated random variables