Abstract
In this paper, we establish the complete convergence and complete moment convergence of weighted sums for arrays of rowwise φ-mixing random variables, and the Baum-Katz-type result for arrays of rowwise φ-mixing random variables. As an application, the Marcinkiewicz-Zygmund type strong law of large numbers for sequences of φ-mixing random variables is obtained. We extend and complement the corresponding results of X. J. Wang, S. H. Hu (2012).
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J.-I. Baek, I.-B. Choi, S.-L. Niu: On the complete convergence of weighted sums for arrays of negatively associated variables. J. Korean Stat. Soc. 37 (2008), 73–80.
J.-I. Baek, S.-T. Park: Convergence of weighted sums for arrays of negatively dependent random variables and its applications. RETRACTED. J. Theor. Probab. 23 (2010), 362–377; retraction ibid. 26 (2013), 899–900.
L. E. Baum, M. Katz: Convergence rates in the law of large numbers. Trans. Am. Math. Soc. 120 (1965), 108–123.
P. Chen, T.-C. Hu, X. Liu, A. Volodin: On complete convergence for arrays of row-wise negatively associated random variables. Theory Probab. Appl. 52 (2008), 323–328; and Teor. Veroyatn. Primen. 52 (2007), 393–397.
P. Chen, T.-C. Hu, A. Volodin: Limiting behaviour of moving average processes under negative association assumption. Theory Probab. Math. Stat. 77 (2008), 165–176; and Teor. Jmovirn. Mat. Stat. 77 (2007), 149–160.
R. L. Dobrushin: Central limit theorem for non-stationary Markov chains. I, II. Teor. Veroyatn. Primen. 1 (1956), 72–89; Berichtigung. Ibid. 3 (1958), 477.
P. Erdős: On a theorem of Hsu and Robbins. Ann. Math. Stat. 20 (1949), 286–291.
M. L. Guo: Complete moment convergence of weighted sums for arrays of rowwise φ-mixing random variables. Int. J. Math. Math. Sci. 2012 (2012), Article ID 730962, 13 pp.
P. L. Hsu, H. Robbins: Complete convergence and the law of large numbers. Proc. Natl. Acad. Sci. USA 33 (1947), 25–31.
T.-C. Hu, M. Ordóñez Cabrera, S. H. Sung, A. Volodin: Complete convergence for arrays of rowwise independent random variables. Commun. Korean Math. Soc. 18 (2003), 375–383.
A. Jun, Y. Demei: Complete convergence of weighted sums for ϱ*-mixing sequence of random variables. Stat. Probab. Lett. 78 (2008), 1466–1472.
V. M. Kruglov, A. I. Volodin, T.-C. Hu: On complete convergence for arrays. Stat. Probab. Lett. 76 (2006), 1631–1640.
A. Kuczmaszewska: On complete convergence for arrays of rowwise dependent random variables. Stat. Probab. Lett. 77 (2007), 1050–1060.
A. Kuczmaszewska: On complete convergence for arrays of rowwise negatively associated random variables. Stat. Probab. Lett. 79 (2009), 116–124.
M. Peligrad: Convergence rates of the strong law for stationary mixing sequences. Z. Wahrscheinlichkeitstheor. Verw. Geb. 70 (1985), 307–314.
M. Peligrad, A. Gut: Almost-sure results for a class of dependent random variables. J. Theor. Probab. 12 (1999), 87–104.
D. H. Qiu, T.-C. Hu, M. O. Cabrera, A. Volodin: Complete convergence for weighted sums of arrays of Banach-space-valued random elements. Lith. Math. J. 52 (2012), 316–325.
Q. M. Shao: A moment inequality and its applications. Acta Math. Sin. 31 (1988), 736–747. (In Chinese.)
A. T. Shen, X. H. Wang, J. M. Ling: On complete convergence for non-stationary φ-mixing random variables. Commun. Stat. Theory Methods, DOI:10.1080/03610926.2012.725501.
G. Stoica: Baum-Katz-Nagaev type results for martingales. J. Math. Anal. Appl. 336 (2007), 1489–1492.
G. Stoica: A note on the rate of convergence in the strong law of large numbers for martingales. J. Math. Anal. Appl. 381 (2011), 910–913.
S. H. Sung: Moment inequalities and complete moment convergence. J. Inequal. Appl. 2009 (2009), Article ID 271265, 14 pp.
S. H. Sung: Complete convergence for weighted sums ofϱ*-mixing random variables. Discrete Dyn. Nat. Soc. 2010 (2010), Article ID 630608, 13 pp.
S. H. Sung: On complete convergence for weighted sums of arrays of dependent random variables. Abstr. Appl. Anal. 2011 (2011), Article ID 630583, 11 pp.
S. H. Sung, A. I. Volodin, T.-C. Hu: More on complete convergence for arrays. Stat. Probab. Lett. 71 (2005), 303–311.
X. J. Wang, S. H. Hu: Some Baum-Katz type results for φ-mixing random variables with different distributions. Rev. R. Acad. Cienc. Exactas Fís. Nat., Ser. A Mat., RACSAM 106 (2012), 321–331.
X. J. Wang, S. H. Hu, W. Z. Yang, Y. Shen: On complete convergence for weighted sums of φ-mixing random variables. J. Inequal. Appl. 2010 (2010), Article ID 372390, 13 pp.
X. J. Wang, S. H. Hu, W. Z. Yang, X. H. Wang: Convergence rates in the strong law of large numbers for martingale difference sequences. Abstr. Appl. Anal. 2012 (2012), Article ID 572493, 13 pp.
X. J. Wang, S. H. Hu, W. Z. Yang, X. H. Wang: On complete convergence of weighted sums for arrays of rowwise asymptotically almost negatively associated random variables. Abstr. Appl. Anal. 2012 (2012), Article ID 315138, 15 pp.
Q. Y. Wu: Probability Limit Theory for Mixed Sequence. China Science Press, Beijing, 2006. (In Chinese.)
Q. Y. Wu: A complete convergence theorem for weighted sums of arrays of rowwise negatively dependent random variables. J. Inequal. Appl. 2012 (2012), Article ID 50, 10 pp. (electronic only).
L. X. Zhang, J. W. Wen: The strong law of large numbers for B-valued random fields. Chin. Ann. Math., Ser. A 22 (2001), 205–216. (In Chinese.)
X. C. Zhou, J. G. Lin: On complete convergence for arrays of rowwise ϱ-mixing random variables and its applications. J. Inequal. Appl. 2010 (2010), Article ID 769201, 12 pp.
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The research has been supported by the National Natural Science Foundation of China (11171001, 11201001), Natural Science Foundation of Anhui Province (1208085QA03, 1308085QA03) and Doctoral Research Start-up Funds Projects of Anhui University.
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Wang, X., Li, X. & Hu, S. Complete convergence of weighted sums for arrays of rowwise φ-mixing random variables. Appl Math 59, 589–607 (2014). https://doi.org/10.1007/s10492-014-0073-3
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DOI: https://doi.org/10.1007/s10492-014-0073-3