Weak convergence for weighted sums of negatively associated random variables and its application in nonparametric regression models
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Publication:5042173
DOI10.1080/03610918.2020.1784431OpenAlexW3037143508MaRDI QIDQ5042173
Jibing Qi, Lu Zhang, Hairong Yang, Xue-jun Wang
Publication date: 18 October 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2020.1784431
convergence rateweak consistencyweak law of large numbersnegatively associated random variablesnonparametric regression models
Asymptotic properties of nonparametric inference (62G20) Central limit and other weak theorems (60F05)
Related Items
Weak convergence for weighted sums of a class of random variables with related statistical applications ⋮ Weak consistency for the estimators in a semiparametric regression model based on negatively associated random errors
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