Law of large numbers for sample mean of random weighting estimate

Authors:
Shesheng Gao;Jingmei Zhang;Tao Zhou
Affiliations:
Department of Automatic Control, Northwestern Polytechnical University, Xi'An 710072, China;Department of Automatic Control, Northwestern Polytechnical University, Xi'An 710072, China;Department of Automatic Control, Northwestern Polytechnical University, Xi'An 710072, China
Venue:
Information Sciences: an International Journal
Year:
2003

Citing 0
Cited 5

Random weighting estimation of parameters in generalized Gaussian distribution

Information Sciences: an International Journal
Random weighting approximate of NA sample mean and application research

ACACOS'08 Proceedings of the 7th WSEAS International Conference on Applied Computer and Applied Computational Science
Random weighting estimation for fusion of multi-dimensional position data

Information Sciences: an International Journal
Random Weighting Estimation of One-sided Confidence Intervals in Discrete Distributions

International Journal of Intelligent Mechatronics and Robotics
Weak convergence for random weighting estimation of smoothed quantile processes

Information Sciences: an International Journal

Quantified Score

Hi-index	0.07

Visualization

Abstract

For the random weighting mean, a strong law of large numbers is obtained under the assumption of finiteness of the rth moment, for some r 1, and weak law of large numbers is obtained under the finiteness of the first moment.