Weak convergence for weighted sums of negatively associated random variables and its application in nonparametric regression models
Author:
Affiliation:
1. School of Economics, Anhui University, Hefei, P.R. China;
2. School of Mathematical Sciences, Anhui University, Hefei, P.R. China;
3. School of Mathematics and Statistics, Hefei Normal University, Hefei, P.R. China
Publisher
Informa UK Limited
Subject
Modeling and Simulation,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610918.2020.1784431
Reference32 articles.
1. Positive dependence in multivariate distributions
2. Convergence rates in the law of large numbers
3. A Note on the Weak Law
4. Consistent nonparametric multiple regression for dependent heterogeneous processes: The fixed design case
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1. Weak convergence for weighted sums of a class of random variables with related statistical applications;Statistics;2023-06-27
2. Weak consistency for the nonparametric kernel regression estimator based on negatively associated random errors;Communications in Statistics - Theory and Methods;2022-12-21
3. Weak consistency for the estimators in a semiparametric regression model based on negatively associated random errors;Journal of Statistical Computation and Simulation;2021-06-13
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