Downloads provided by UsageCounts
{"references": ["L. X. Zhang and X. Y, Wang, \"Convergence rates in the strong laws of asymptotically negatively associated random fields,\" Appl. Math. J. Chinese Univ, Ser. B. vol. 14, pp. 406\u2013416,1999.", "Joag- K. Dev, F. Proschan, \"Negative association of random variables with applications.\" Ann. Statist, vol. 11, pp. 286\u2013295, 1983.", "C. Su, T. Jiang, Q. H. Tang and H. Y. Liang, \"The safety of negatively associated dependence structure,\" Chinese J. Appl. Probab. Statist, .vol. 18.pp. 400\u2013404, 2002.", "H. Zhou, \"Moment inequalities and application for mixing sequence,\" Journal of Zhejiang University, vol. 16, pp. 691\u2013710, 2000.", "L. X. Zhang, \"Central limit theorems for asymptotically negatively associated random fields,\" Acta. Math. Sinica, vol. 14, pp. 406\u2013416, 1999.", "L. X. Zhang, \"A functional central limit theorem for asymptotically negatively associated random fields,\" Acta. Math. Hungar, vol. 83, pp. 237\u2013259, 2000.", "J. F. Wang and F. B. Lu, \"Inequalities of maximum of partial sums and weak convergence for a class of weak dependent random variables,\" Acta. Math. Sinica. vol. 22, pp. 693\u2013700,2006.", "X. Chen and Y. C. Wu, \"Strong consistency of M-estimator in nonlinear models under mixing errors,\" Journal of Chongqing University of Arts and Sciences, vol. 29. pp. 5\u20139, 2010.", "W. Feller, \"A limit theorem for random variables with infinite moments,\" American Journal of Mathematics. vol. 68, pp.257\u2013262, 1946.\n[10]\tL. E Baum and M. Katz, \"Convergence rates in the law of large numbers,\" Transactions of the American Mathematical Society. vol. 120, pp. 108\u2013123, 1965.\n[11]\tC. Y. Lu and Z. Y. Lin, The limiting theory of mixing-dependent random variables. China: Academic Press, 1997, ch 4-6."]}
In this paper, some limit properties for mixing random variables sequences were studied and some results on weak law of large number for mixing random variables sequences were presented. Some complete convergence theorems were also obtained. The results extended and improved the corresponding theorems in i.i.d random variables sequences.
Complete convergence, mixing random variables, weak law of large numbers.
Complete convergence, mixing random variables, weak law of large numbers.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 | |
| downloads | 3 |

Views provided by UsageCounts
Downloads provided by UsageCounts