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On complete convergence for weighted sums of asymptotically linear negatively dependent random field

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  • Ko, Mi-Hwa

Abstract

In this paper we establish the complete convergence for weighted sums of asymptotically linear negatively quadrant dependent random field, which contains a linear negatively quadrant dependent field and a ρ∗-mixing random field.

Suggested Citation

  • Ko, Mi-Hwa, 2013. "On complete convergence for weighted sums of asymptotically linear negatively dependent random field," Statistics & Probability Letters, Elsevier, vol. 83(12), pages 2615-2620.
    • Handle: RePEc:eee:stapro:v:83:y:2013:i:12:p:2615-2620
    DOI: 10.1016/j.spl.2013.08.009
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    References listed on IDEAS

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    1. Kaffes, D. & Bhaskara Rao, M., 1982. "Weak consistency of least-squares estimators in linear models," Journal of Multivariate Analysis, Elsevier, vol. 12(2), pages 186-198, June.
    2. Gu, Wentao & Roussas, George G. & Tran, Lanh T., 2007. "On the convergence rate of fixed design regression estimators for negatively associated random variables," Statistics & Probability Letters, Elsevier, vol. 77(12), pages 1214-1224, July.
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