Weak consistency for the estimators in a semiparametric regression model based on negatively associated random errors

DOI10.1080/00949655.2021.1929985OpenAlexW3167087793MaRDI QIDQ3390443

Lu Zhang, Wei Yu, Xue-jun Wang

Publication date: 24 March 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2021.1929985

zbMATH Keywords

weak consistencysimulation studynegatively associated random variablessemiparametric regression modelnearest neighbour weight function estimator

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Asymptotic properties of nonparametric inference (62G20) Statistics (62-XX)

Cites Work

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• A note on the asymptotic properties of the estimators in a semiparametric regression model
• A general result on complete convergence for weighted sums of linear processes and its statistical applications

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