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Convergence rates in the strong laws of asymptotically negatively associated random fields

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Abstract

In this paper, a notion of negative side ϱ-mixing (ϱ -mixing) which can be regarded as asymptotic negative association is defined, and some Rosenthal type inequalities for ϱ -mixing random fields are established. The complete convergence and almost sure summability on the convergence rates with respect to the strong law of large numbers are also discussed for ϱ -mixing random fields. The results obtained extend those for negatively associated sequences and ϱ * random fields.

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References

  1. Joag-Dev, K. and Proschan, F., Negative association of random variables with applications, Ann. Statist., 1983, 11, 286–295.

    MathSciNet  Google Scholar 

  2. Matula, P. A note on the almost sure convergence of sums of negatively dependent random variables, Statist. Probab. Lett., 1992, 15: 209–213.

    Article  MATH  MathSciNet  Google Scholar 

  3. Shao, Q. M., A Comparsion theorem on maximal inequalities between negatively associated and independent random variables, Manuscript, 1995.

  4. Zhao, L.C., Su, C. and Wang, Y.B., The moment inequalities and weak convergence for negatively associated sequences, Sci. China Ser. A, 1997, 40: 172–182.

    MATH  MathSciNet  Google Scholar 

  5. Su, C., A theorem of Hsu-Robbins type for negatively associated sequence, Chinese Science Bulletin, 1996, 41, 441–446.

    MATH  MathSciNet  Google Scholar 

  6. Bradkey, R. C., On the spectral density and asymptotic normality of dependence between random variables, J. Theoret. Probab., 1992, 5: 355–373.

    Article  MathSciNet  Google Scholar 

  7. Bradley, R. C. and Bryc, W., Multilinear forms and measures of dependence between random variables, J. Multivariate Anal. 1985, 16: 335–367.

    Article  MATH  MathSciNet  Google Scholar 

  8. Miller, C., A CLT for periodograms of a ϱ *-mixing random field, Stochastic Process. Appl., 1995, 60: 313–330.

    Article  MATH  MathSciNet  Google Scholar 

  9. Miller, C., Three theorems on random fields with ϱ *-mixing, J. Theoret. probab., 1994, 7: 867–882.

    Article  MATH  MathSciNet  Google Scholar 

  10. Zhang, L. X., Convergence rates in the strong laws of non-stationary ϱ *-mixing random fields, Manuscript, 1996.

  11. Zhang, L. X., Rosenthal type inequalities for B-valued strong mixing random fields and their applications, Sci. China Ser. A, 1998, 41: 736–745.

    Article  MATH  MathSciNet  Google Scholar 

  12. Zhang, L. X., A functional central limit theorem for asympotically negatively dependent random fields, Manuscript, to appear in Acta Math. Hungar.

  13. Maricz, F., A general moment inequality for the maximum of partial sums of single series, Acta. Sci. Math., 1982, 44: 67–75.

    Google Scholar 

  14. Shao, Q. M., Maximal inequalities for sums of ϱ-mixing sequences, Ann. Probab., 1995, 23: 948–965.

    MATH  MathSciNet  Google Scholar 

  15. Hsu, P. L. and Robbins, H., Complete convergence and the law of large numbers, Proc. Nat. Acad. Sci. U. S. A., 1947, 33: 25–31.

    Article  MATH  MathSciNet  Google Scholar 

  16. Csörgö, M., Horváth, L., and Shao, Q. M., Almost sure summability of partial sums, Laboratory for Research in Statistics and Probability Technical Report Series 168, Carleton Univ.-Univ. Ottawa, 1991.

    Google Scholar 

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Research supported by National Natural Science Foundation of China (197010011).

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Lixin, Z., Xiuyun, W. Convergence rates in the strong laws of asymptotically negatively associated random fields. Appl. Math. Chin. Univ. 14, 406–416 (1999). https://doi.org/10.1007/s11766-999-0070-6

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  • DOI: https://doi.org/10.1007/s11766-999-0070-6

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