TY - JOUR
T1 - Strong limit theorems for weighted sums of negatively associated random variables
AU - Jing, Bing Yi
AU - Liang, Han Ying
PY - 2008/12
Y1 - 2008/12
N2 - 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.
AB - 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.
KW - Cesàro mean
KW - Complete convergence
KW - Negatively associated random variable
KW - Strong law
KW - Weighted sum
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000259734200006
UR - https://openalex.org/W2061197393
UR - https://www.scopus.com/pages/publications/54149107044
U2 - 10.1007/s10959-007-0128-4
DO - 10.1007/s10959-007-0128-4
M3 - Journal Article
SN - 0894-9840
VL - 21
SP - 890
EP - 909
JO - Journal of Theoretical Probability
JF - Journal of Theoretical Probability
IS - 4
ER -