Asymptotic properties of LS estimator in nonlinear functional EV models

Article Properties
  • Language
    English
  • DOI (url)
    10.1080/03610926.2021.1875242
  • Publication Date
    2021/02/02
  • Journal
    Communications in Statistics - Theory and Methods
  • Indian UGC (journal)
  • Refrences
    38
  • Citations
    1
  • Yu Miao College of Mathematics and Information Science, Henan Normal University, Xinxiang, ChinaHenan Engineering Laboratory for Big Data Statistical Analysis and Optimal Control, Henan Normal University, Xinxiang, China ORCID (unauthenticated)
  • Yuhang Zhen College of Mathematics and Information Science, Henan Normal University, Xinxiang, China
Cite
Miao, Yu, and Yuhang Zhen. “Asymptotic Properties of LS Estimator in Nonlinear Functional EV Models”. Communications in Statistics - Theory and Methods, vol. 51, no. 21, 2021, pp. 7575-06, https://doi.org/10.1080/03610926.2021.1875242.
Miao, Y., & Zhen, Y. (2021). Asymptotic properties of LS estimator in nonlinear functional EV models. Communications in Statistics - Theory and Methods, 51(21), 7575-7606. https://doi.org/10.1080/03610926.2021.1875242
Miao, Yu, and Yuhang Zhen. “Asymptotic Properties of LS Estimator in Nonlinear Functional EV Models”. Communications in Statistics - Theory and Methods 51, no. 21 (2021): 7575-7606. https://doi.org/10.1080/03610926.2021.1875242.
Miao Y, Zhen Y. Asymptotic properties of LS estimator in nonlinear functional EV models. Communications in Statistics - Theory and Methods. 2021;51(21):7575-606.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Citations
Title Journal Journal Categories Citations Publication Date
Complete Convergence of Weighted Sums of Martingale Differences and Statistical Applications Bulletin of the Malaysian Mathematical Sciences Society
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Citations Analysis
Category Category Repetition
Science: Mathematics1
The category Science: Mathematics 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Complete Convergence of Weighted Sums of Martingale Differences and Statistical Applications and was published in 2023. The most recent citation comes from a 2023 study titled Complete Convergence of Weighted Sums of Martingale Differences and Statistical Applications. This article reached its peak citation in 2023, with 1 citations. It has been cited in 1 different journals. Among related journals, the Bulletin of the Malaysian Mathematical Sciences Society cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year