Complete f -moment convergence for m -asymptotic negatively associated random variables and related statistical applications

Author:

Wang Xuejun1,Chen Xi1,Hu Tien-Chung2,Volodin Andrei34

Affiliation:

1. School of Big Data and Statistics, Anhui University, Hefei, People's Republic of China

2. Department of Mathematics, Tsing Hua University, Hsinchu, Taiwan, People's Republic of China

3. Sino-Canada Research Centre of Nonlinear Dynamics and Noise Control, Xiamen University of Technology and the University of Regina, Xiamen University of Technology, Xiamen, Fujian, People's Republic of China

4. Department of Mathematics and Statistics, University of Regina, Regina, SK, Canada

Funder

National Social Science Foundation of China

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference43 articles.

1. Some General Strong Laws for Weighted Sums of Stochastically Dominated Random Variables;Adler A.;Stochastics Analysis and Applications,1987

2. Strong Laws of Large Numbers for Weighted Sums of Random Elements in Normed Linear Spaces;Adler A.;International Journal of Mathematics and Mathematical Sciences,1989

3. Positive Dependence in Multivariate Distributions;Alam K.;Communications in Statistics-Theory and Methods,1981

4. Asymptotics of Estimators in Semi-Parametric Model Under NA Samples;Baek J.;Journal of Statistical Planning and Inference,2006

5. Bingham, N., Goldie, C., and Teugels, J. (1989), Regular Variation, New York: Cambridge University Press.

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