On Complete Convergence in Marcinkiewicz-Zygmund Type SLLN for END Random Variables and Its Applications
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Publication:5077879
DOI10.1080/03610926.2018.1508709OpenAlexW2898100919WikidataQ129027863 ScholiaQ129027863MaRDI QIDQ5077879
Publication date: 20 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://www.econstor.eu/bitstream/10419/230753/1/irtg1792dp2018-042.pdf
Related Items (11)
Complete moment convergence for randomly weighted sums of END sequences and its applications ⋮ Complete convergence and complete moment convergence for maximal weighted sums of arrays of rowwise extended negatively dependent random variables with statistical applications ⋮ Complete convergence for maximum of weighted sums of WNOD random variables and its application ⋮ Complete moment convergence for maximum of randomly weighted sums of martingale difference sequences ⋮ Complete and complete \(f\)-moment convergence for arrays of rowwise END random variables and some applications ⋮ Complete moment convergence for weighted sums of widely orthant-dependent random variables and its application in nonparametric regression models ⋮ Complete convergence for weighted sums of widely orthant-dependent random variables and its statistical application ⋮ On complete convergence in Marcinkiewicz-Zygmund type SLLN for random variables ⋮ A note on the complete consistency for the weighted linear estimator of nonparametric regression models ⋮ Complete moment convergence for randomly weighted sums of arrays of rowwise \(m_n\)-extended negatively dependent random variables and its applications ⋮ ℒ_p-convergence for weighted sums of arrays of rowwise extended negatively dependent random variables
Cites Work
- Unnamed Item
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- Probability inequalities for END sequence and their applications
- The consistency for estimator of nonparametric regression model based on NOD errors
- On the laws of large numbers for nonnegative random variables
- Complete and complete moment convergence for weighted sums of widely orthant dependent random variables
- Complete moment convergence and mean convergence for arrays of rowwise extended negatively dependent random variables
- Consistent nonparametric multiple regression for dependent heterogeneous processes: the fixed design case
- Necessary and sufficient conditions for moderate deviations of dependent random variables with heavy tails
- Precise large deviations for dependent random variables with heavy tails
- Weak and universal consistency of moving weighted averages
- Nonparametric function recovering from noisy observations
- Consistent nonparametric multiple regression: the fixed design case
- A note on the strong law of large numbers for positively dependent random variables
- Consistent regression estimation with fixed design points under dependence conditions
- Consistent nonparametric regression. Discussion
- Complete convergence and complete moment convergence for maximal weighted sums of extended negatively dependent random variables
- Strong laws of large numbers for weighted sums of random elements in normed linear spaces
- Complete convergence for Sung's type weighted sums of END random variables
- The consistency of the nearest neighbor estimator of the density function based on WOD samples
- On complete convergence for widely orthant-dependent random variables and its applications in nonparametric regression models
- Asymptotic properties for estimates of nonparametric regression models based on negatively associated sequences
- Complete convergence for weighted sums of END random variables and its application to nonparametric regression models
- On Complete Convergence for an Extended Negatively Dependent Sequence
- Complete convergence for arrays of rowwise negatively superadditive-dependent random variables and its applications
- On the Bahadur representation of sample quantiles for widely orthant dependent sequences
- Complete convergence for weighted sums of extended negatively dependent random variables
- The Strong Law of Large Numbers for Extended Negatively Dependent Random Variables
- An elementary proof of the strong law of large numbers
- A supplement to the strong law of large numbers
- Some general strong laws for weighted sums of stochastically dominated random variables
- Almost sure convergence for weighted sums of WNOD random variables and its applications to non parametric regression models
- Complete consistency for the estimator of nonparametric regression models based on extended negatively dependent errors
- STRONG STABILITY OF A TYPE OF JAMISON WEIGHTED SUMS FOR END RANDOM VARIABLES
- Convergence Rates in the Law of Large Numbers
- The Probability in the Tail of a Distribution
- Complete Convergence and the Law of Large Numbers
- On a Theorem of Hsu and Robbins
- Regularly varying functions
- Fixed-design regression for linear time series
- Fixed-design regression for linear time series
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