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Strong Limit Theorems for Weighted Sums of Negatively Associated Random Variables
Authors:Bing-Yi Jing  Han-Ying Liang
Institution:(1) Department of Mathematics, Hong Kong Univ. of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;(2) Department of Mathematics, Tongji University, Shanghai, 200092, People’s Republic of China
Abstract:In this paper, we establish strong laws for weighted sums of identically distributed negatively associated random variables. Marcinkiewicz-Zygmund’s strong law of large numbers is extended to weighted sums of negatively associated random variables. Furthermore, we investigate various limit properties of Cesàro’s and Riesz’s sums of negatively associated random variables. Some of the results in the i.i.d. setting, such as those in Jajte (Ann. Probab. 31(1), 409–412, 2003), Bai and Cheng (Stat. Probab. Lett. 46, 105–112, 2000), Li et al. (J. Theor. Probab. 8, 49–76, 1995) and Gut (Probab. Theory Relat. Fields 97, 169–178, 1993) are also improved and extended to the negatively associated setting.
Keywords:Strong law  Weighted sum  Cesàro mean  Complete convergence  Negatively associated random variable
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