JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2015, Vol. 50 ›› Issue (06): 13-18.doi: 10.6040/j.issn.1671-9352.0.2014.359

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Complete moment convergence of moving average process for END random variables

QIAN Shuo-ge1, YANG Wen-zhi2   

  1. 1. Department of Statistics and Finance, University of Science and Technology of China, Hefei 230026, Anhui, China;
    2. School of Mathematical Sciences, Anhui University, Hefei 230601, Anhui, China
  • Received:2014-08-07 Revised:2015-05-11 Online:2015-06-20 Published:2015-07-31

Abstract: The moving average process based on END random variables was constructed. By using the moment inequality of END random variables, the complete moment convergence for this moving average process was established. As a corollary, its complete convergence was also presented.

Key words: complete convergence, END random variables, complete moment convergence, moving average process

CLC Number: 

  • O211.4
[1] LIU Li. Precise large deviations for dependent random variables with heavy tails[J]. Statistics and Probability Letters, 2009, 79(9):1290-1298.
[2] LEHMANN E L. Some concepts of dependence[J]. Annals of Mathematical Statistics, 1966, 37(5):1137-1153.
[3] JOAG-DEV K, PROSCHAN F. Negative association of random variables with applications[J]. Annals of Statistics, 1983, 11(1):286-295.
[4] LIU Li. Necessary and Su-cient conditions for moderate deviations of dependent random variables with heavy tails[J]. Science in China Series A: Mathematics, 2010, 53(6):1421-434.
[5] WANG Xuejun, HU T C, VOLODIN A I, et al. Complete convergence for weighted sums and arrays of row wise extended negatively dependent random variables[J]. Communications in Statistics-Theory and Methods, 2013, 42(13):2391-2401.
[6] WANG Xuejun, WANG Shijie, HU Shuhe, et al. On complete convergence for weighted sums of rowwise extended negatively dependent random variables[J]. Stochastics: An International Journal of Probability and Stochastic Processes, 2013, 85(6):1060-1072.
[7] SHEN Aiting. Probability inequalities for END sequence and their applications[J].Journal of Inequalities and Applications, 2011, 2011:98.1-98.12.
[8] CHEN Yiqing, CHEN Anyue, NG K W. The strong law of large number for extended negatively dependent random variables[J]. The Journal of Applied Probability, 2010, 47:908-922.
[9] WANG Xuejun, ZHENG Lulu, XU Chen, et al. Complete consistency for the estimator of nonparametric regression models based on extended negatively dependent errors[J]. Statistics A Journal of Theoretical & Applied Statistics, 2015, 49(2):396-407.
[10] HU T C, ROSALSKY A, WANG K L. Complete convergence theorems for extended negatively dependent random variables[J]. Sankhya, 2015, 77A(1):1-29.
[11] 邓新, 夏凤熙, 王学军. END随机变量序列加权和的几乎处处收敛性[J]. 合肥工业大学学报:自然科学版, 2014, 37(6):761-763. DENG Xin, XIA Fengxi, WANG Xuejun. Almost sure convergence of weighted sums of END random variable sequences[J]. Journal of Hefei University of Technology: Natural Science, 2014, 37(6):761-763.
[12] 徐陈, 王学军, 王嫱. END随机变量阵列加权和的完全收敛性[J]. 高校应用数学学报, 2014, 29(3):253-260. XU Chen, WANG Xuejun, WANG Qiang. Complete convergence for weighted sums of arrays of rowwise extended negatively dependent random variables[J]. Applied Mathematics A Journal of Chinese Universities, 2014, 29(3):253-260.
[13] 徐陈, 郑璐璐, 陈志勇, 等. END随机变量序列加权和的完全收敛性[J]. 中国科学技术大学学报, 2014, 44(6):462-467. XU Chen, ZHENG Lulu, CHEN Zhiyong, et al. Complete convergence for weighted sums of arrays of rowwise extended negatively dependent random variables[J]. Journal of University of Science and Technology of China, 2014, 44(6):462-467.
[14] MATULA P. A note on the almost sure convergence of sums of negatively dependent random variables[J]. Statistics and Probability Letters, 1992, 15(3):209-213.
[15] ASADIAN N, FAKOOR V, BOZORGNIA A. Rosenthal's type inequalities for negatively orthant dependent random variables[J]. Journal of the Iranian Statistical Society, 2006, 5(1-2):69-75.
[16] SUNG S H. A note on the complete convergence for weighted sums of negatively dependent random variables[J]. Journal of Inequalities and Applications 2012, 2012:158.
[17] YANG Wenzhi, WANG Xuejun, WANG Xinghui, et al. The consistency for estimator of nonparametric regression model based on NOD errors[J]. Journal of Inequalities and Applications 2012, 2012:140.1-140.13
[18] WU Qunying. Complete convergence for negatively dependent sequences of random variables[J/OL]. Journal of Inequalities and Applications, 2010, 2010:507293.1-507293.10.
[19] WU Qunying. The strong consistency of M estimator in a linear model for negatively dependent random samples[J]. Communications in Statistics-Theory and Methods 2011, 40(3):467-491.
[20] WU Qunying. Probability limit theory of mixing sequences[M]. Beijing: Science Press, 2006.
[21] LI Deli, RAO M B, WANG Xiangchen. Complete convergence of moving average processes[J]. Statistics & Probability Letters, 1992, 14(2):111-114.
[22] LI Yuanxia, ZHANG Lixin. Complete moment convergence of moving-average processes under dependent assumptions[J]. Statistics & Probability Letters, 2004, 70(3):191-197.
[23] ZHANG Lixin. Complete convergence of moving average processes under dependent assumption[J]. Statistics & Probability Letters, 1996, 30(2):165-170
[24] CHEN Pingyan, HU T C, VOLODIN A. Limiting behaviour of moving average processes under φ-mixing assumption[J]. Statistics & Probability Letters, 2009, 79(1):105-111.
[25] ZHOU Xingcai. Complete moment convergence of moving average processes under φ-mixing assumptions[J]. Statistics & Probability Letters, 2010, 80(5-6):285-292.
[26] YANG Wenzhi, HU Shuhe, WANG Xuejun, et al. On complete convergence of moving average process for AANA sequence[J]. Discrete Dynamics in Nature and Society, 2012, Article ID 863931, 24 pages.
[27] SUNG S H. Convergence of moving average processes for dependent random variables[J]. Communications in Statistics-Theory and Methods, 2011, 40:2366-2376.
[28] ADLER A, ROSALSKY A. Some general strong laws for weighted sums of stochastically dominated random variables[J]. Stochastic Analysis and Applications, 1987, 5(1):1-16.
[29] ADLER A, ROSALSKY A, TAYLOR R L. Strong laws of large numbers for weighted sums of random elements in normed linear spaces[J]. International Journal of Mathematics and Mathematical Sciences, 1989, 12(3):507-530.
[30] SUNG S H. Moment inequalities and complete moment convergence[J]. Journal of Inequalities and Applications, 2009, 2009:271265.1-271265.14.
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