Robust estimators in semi-functional partial linear regression models

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Boente, Graciela, and Alejandra Vahnovan. “Robust Estimators in Semi-Functional Partial Linear Regression Models”. Journal of Multivariate Analysis, vol. 154, 2017, pp. 59-84, https://doi.org/10.1016/j.jmva.2016.10.005.
Boente, G., & Vahnovan, A. (2017). Robust estimators in semi-functional partial linear regression models. Journal of Multivariate Analysis, 154, 59-84. https://doi.org/10.1016/j.jmva.2016.10.005
Boente, Graciela, and Alejandra Vahnovan. “Robust Estimators in Semi-Functional Partial Linear Regression Models”. Journal of Multivariate Analysis 154 (2017): 59-84. https://doi.org/10.1016/j.jmva.2016.10.005.
Boente G, Vahnovan A. Robust estimators in semi-functional partial linear regression models. Journal of Multivariate Analysis. 2017;154:59-84.
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Citations
Title Journal Journal Categories Citations Publication Date
Local linear-$k$NN smoothing for semi-functional partial linear regression

 Hacettepe Journal of Mathematics and Statistics 2024
Robust estimation for functional quadratic regression models Computational Statistics & Data Analysis
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Citations Analysis
Category Category Repetition
Science: Mathematics11
Science: Mathematics: Probabilities. Mathematical statistics10
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Social Sciences: Commerce: Business: Accounting. Bookkeeping1
Social Sciences: Finance1
The category Science: Mathematics 11 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Tests for the linear hypothesis in semi-functional partial linear regression models and was published in 2018. The most recent citation comes from a 2024 study titled Local linear-$k$NN smoothing for semi-functional partial linear regression. This article reached its peak citation in 2018, with 4 citations. It has been cited in 12 different journals. Among related journals, the Computational Statistics & Data Analysis cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
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