Estimation for functional partial linear models with missing responses

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Zhou, Jianjun, and Qingyan Peng. “Estimation for Functional Partial Linear Models With Missing Responses”. Statistics &Amp; Probability Letters, vol. 156, 2020, p. 108598, https://doi.org/10.1016/j.spl.2019.108598.
Zhou, J., & Peng, Q. (2020). Estimation for functional partial linear models with missing responses. Statistics &Amp; Probability Letters, 156, 108598. https://doi.org/10.1016/j.spl.2019.108598
Zhou, Jianjun, and Qingyan Peng. “Estimation for Functional Partial Linear Models With Missing Responses”. Statistics &Amp; Probability Letters 156 (2020): 108598. https://doi.org/10.1016/j.spl.2019.108598.
Zhou J, Peng Q. Estimation for functional partial linear models with missing responses. Statistics & Probability Letters. 2020;156:108598.
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Refrences Analysis
Category Category Repetition
Science: Mathematics: Probabilities. Mathematical statistics12
Science: Mathematics11
Social Sciences: Commerce: Business: Accounting. Bookkeeping3
Social Sciences: Finance3
The category Science: Mathematics: Probabilities. Mathematical statistics 12 is the most frequently represented among the references in this article. It primarily includes studies from Journal of Multivariate Analysis and Journal of Statistical Planning and Inference. The chart below illustrates the number of referenced publications per year.
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Citations
Title Journal Journal Categories Citations Publication Date
Multiple imputation in the functional linear model with partially observed covariate and missing values in the response Communications in Statistics - Theory and Methods
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 2024
Functional regression with dependent error and missing observation in reproducing kernel Hilbert spaces Journal of the Korean Statistical Society
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 1 2023
Testing Linearity in Functional Partially Linear Models Acta Mathematicae Applicatae Sinica, English Series
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
 1 2022
Empirical likelihood in single-index partially functional linear model with missing observations Communications in Statistics - Theory and Methods
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 1 2022
Functional linear model with partially observed covariate and missing values in the response Journal of Nonparametric Statistics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 2 2022
Citations Analysis
Category Category Repetition
Science: Mathematics6
Science: Mathematics: Probabilities. Mathematical statistics4
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods1
The category Science: Mathematics 6 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Testing Linearity in Functional Partially Linear Models and was published in 2022. The most recent citation comes from a 2024 study titled Multiple imputation in the functional linear model with partially observed covariate and missing values in the response. This article reached its peak citation in 2022, with 4 citations. It has been cited in 5 different journals, 20% of which are open access. Among related journals, the Communications in Statistics - Theory and Methods cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year