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Communications in Statistics - Theory and Methods Volume 40, 2011 - Issue 13
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Original Articles

Convergence of Moving Average Processes for Dependent Random Variables

Soo Hak Sung Department of Applied Mathematics, Pai Chai University, Taejon, South KoreaCorrespondence[email protected]
Pages 2366-2376 | Received 30 Nov 2009, Accepted 17 Mar 2010, Published online: 13 Apr 2011

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Read on this site (2)

Xi Liu, Yan Shen, Jie Yang & Yamei Lu. (2017) Complete moment convergence of widely orthant dependent random variables. Communications in Statistics - Theory and Methods 46:14, pages 7256-7265.
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Aiting Shen, Ying Zhang & Andrei Volodin. (2016) On the rate of convergence in the strong law of large numbers for negatively orthant-dependent random variables. Communications in Statistics - Theory and Methods 45:21, pages 6209-6222.
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Articles from other publishers (4)

Seyed Mohammad Hosseini & Ahmad Nezakati. (2019) Complete Moment Convergence for the Dependent Linear Processes with Random Coefficients. Acta Mathematica Sinica, English Series 35:8, pages 1321-1333.
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Wenzhi Yang, Xinghui Wang, Xiaoqin Li & Shuhe Hu. (2014) The Convergence of Double-Indexed Weighted Sums of Martingale Differences and Its Application. Abstract and Applied Analysis 2014, pages 1-7.
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Wenzhi Yang, Yiwei Wang, Xinghui Wang & Shuhe Hu. (2013) Complete moment convergence for randomly weighted sums of martingale differences. Journal of Inequalities and Applications 2013:1.
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Wenzhi Yang, Xuejun Wang, Nengxiang Ling & Shuhe Hu. (2012) On Complete Convergence of Moving Average Process for AANA Sequence. Discrete Dynamics in Nature and Society 2012, pages 1-24.
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