Almost sure convergence for weighted sums of φ-mixing random variables with applications
Author:
Affiliation:
1. Department of Mathematics and GeoBioTec, Faculty of Sciences and Technology, NOVA University of Lisbon, Caparica, Portugal
Funder
FCT - Fundação para a Ciência e a Tecnologia, Portugal
Publisher
Informa UK Limited
Subject
Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610926.2019.1594302
Reference23 articles.
1. Matrix Mathematics
2. Complete moment convergence for sequence of identically distributed φ-mixing random variables
3. Weak and strong consistency of the least squares estimators in regression models
4. Convergence systems and strong consistency of least squares estimates in regression models
5. Asymptotic properties for LS estimators in EV regression model with dependent errors
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1. Complete convergence and complete moment convergence for maximal weighted sums of arrays of rowwise extended negatively dependent random variables with statistical applications;Journal of Computational and Applied Mathematics;2024-02
2. Complete f -moment convergence for m -asymptotic negatively associated random variables and related statistical applications;Journal of Nonparametric Statistics;2023-11-09
3. A Marcinkiewicz-Zygmund type strong law for weighted sums of φ-mixing random variables and its applications;Journal of Mathematical Analysis and Applications;2022-01
4. Strong consistency of LS estimators in simple linear EV regression models with WOD errors;Journal of Mathematical Inequalities;2021
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