A Functional Central Limit Theorem for Positively Dependent Random Variables
Author:
Publisher
Elsevier BV
Subject
Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability
Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Convergence test statistic of kernel estimators of a density function from stationary sequence of strongly linearly positive quadrant dependent random variables;AIP Conference Proceedings;2024
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3. Uniform convergence of an estimator of empirical survival function and nuclear estimates of density from stationary sequences of strongly linearly positive quadrant dependent random variables;NOVEL TRENDS IN RHEOLOGY IX;2023
4. Asymptotical properties of the estimator of two-dimensional distributions from stationary sequences of positively quadrant dependent random variables;NOVEL TRENDS IN RHEOLOGY IX;2023
5. Moment Inequality, Central Limit Theorem and an Invariance Principle for Linearly Positive Dependent Random Fields;2023
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