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On the Strong Laws for Weighted Sums of -Mixing Random Variables JOURNAL ARTICLE published 2011 in Journal of Inequalities and Applications |
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Strong laws of large numbers for weighted sums of $$tilde rho $$ -mixing random variables JOURNAL ARTICLE published 1 August 2007 in Mathematica Slovaca |
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Strong convergence results for weighted sums of ρ ˜ -mixing random variables JOURNAL ARTICLE published December 2013 in Journal of Inequalities and Applications |
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Some strong laws of large numbers for weighted sums of asymptotically almost negatively associated random variables JOURNAL ARTICLE published December 2013 in Journal of Inequalities and Applications |
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On complete convergence and complete moment convergence for weighted sums of ρ ∗ $rho^{*}$ -mixing random variables JOURNAL ARTICLE published December 2018 in Journal of Inequalities and Applications Research funded by National Natural Science Foundation of China (11271161) | National Research Foundation of Korea (2017R1D1A1B03029898) | Pai Chai University (2018) |
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Strong laws for weighted sums of random variables satisfying generalized Rosenthal type inequalities JOURNAL ARTICLE published December 2020 in Journal of Inequalities and Applications Research funded by National Natural Science Foundation of China (71471075) | Ministry of Education (2017R1D1A1B03029898) |
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Strong convergence for weighted sums of ρ*-mixing random variables JOURNAL ARTICLE published 8 June 2014 in Glasnik Matematicki |
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Almost Sure Central Limit Theorem for Product of Partial Sums of Strongly Mixing Random Variables JOURNAL ARTICLE published 2011 in Journal of Inequalities and Applications |
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Some Strong Limit Theorems for Weighted Product Sums of -Mixing Sequences of Random Variables JOURNAL ARTICLE published 2009 in Journal of Inequalities and Applications |
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Some strong limit theorems for arrays of rowwise negatively orthant-dependent random variables JOURNAL ARTICLE published December 2011 in Journal of Inequalities and Applications |
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Strong consistency of estimators in partially linear models for longitudinal data with mixing-dependent structure JOURNAL ARTICLE published December 2011 in Journal of Inequalities and Applications |
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On Strong Law of Large Numbers for Dependent Random Variables JOURNAL ARTICLE published 2011 in Journal of Inequalities and Applications |
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Strong laws for weighted sums of $$rho ^*$$ ρ ∗ -mixing random variables under general, moment conditions JOURNAL ARTICLE published July 2019 in Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas |
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On the strong convergence for weighted sums of negatively superadditive dependent random variables JOURNAL ARTICLE published December 2017 in Journal of Inequalities and Applications Research funded by National Natural Science Foundation of China (CN) (71271042) | National Natural Science Foundation of China (11661029,11661030) |
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A supplement to the strong laws for weighted sums of φ-mixing random variables JOURNAL ARTICLE published 2014 in Journal of Mathematical Inequalities |
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Complete convergence for weighted sums of arrays of rowwise ρ ˜ -mixing random variables JOURNAL ARTICLE published December 2013 in Journal of Inequalities and Applications |
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On the strong convergence for weighted sums of random variables JOURNAL ARTICLE published May 2011 in Statistical Papers |
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Strong laws for weighted sums of $$psi $$ ψ -mixing random variables and applications in errors-in-variables regression models JOURNAL ARTICLE published September 2017 in TEST Research funded by National Natural Science Foundation of China (CN) (11271161) | National Research Foundation of Korea (KR) (2014R1A1A2058041) |
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A note on the strong limit theorem for weighted sums of sequences of negatively dependent random variables JOURNAL ARTICLE published December 2012 in Journal of Inequalities and Applications |
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On the strong law of large numbers for weighted sums of random variables JOURNAL ARTICLE published December 2011 in Computers & Mathematics with Applications Research funded by Ministry of Education, Science and Technology (2010-0013131) |