Complete moment convergence for double-indexed randomly weighted sums and its applications
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Publication:4567915
DOI10.1080/02331888.2018.1436548zbMath1391.60055OpenAlexW2790554398MaRDI QIDQ4567915
Publication date: 20 June 2018
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331888.2018.1436548
complete convergencestate observerscomplete moment convergencenonparametric regression modelrandomly weighted sumslinear-time-invariant systems
Related Items (13)
A difference-based approach in the partially linear model with dependent errors ⋮ Complete convergence for randomly weighted sums of random variables satisfying some moment inequalities ⋮ Convergence rates in the law of large numbers and new kinds of convergence of random variables ⋮ Complete convergence and complete moment convergence for maximal randomly weighted sums of widely orthant-dependent random variables with applications ⋮ Complete moment convergence for randomly weighted sums of END sequences and its applications ⋮ Probability inequalities for sums of NSD random variables and applications ⋮ Complete $f$-Moment Convergence for Randomly Weighted Sums of Extended Negatively Dependent Random Variables and Its Statistical Application ⋮ Kernel density estimation under negative superadditive dependence and its application for real data ⋮ Complete Moment Convergence for the Dependent Linear Processes with Application to the State Observers of Linear-Time-Invariant Systems ⋮ Complete and complete moment convergence for randomly weighted sums ofρ*-mixing random variables and its applications ⋮ Complete moment convergence for m-ANA random variables and statistical applications ⋮ On complete moment convergence for arrays of rowwise pairwise negatively quadrant dependent random variables ⋮ Difference-based M-estimator of generalized semiparametric model with NSD errors
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