Automatic estimation procedure in partial linear model with functional data

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Aneiros-Pérez, Germán, and Philippe Vieu. “Automatic Estimation Procedure in Partial Linear Model With Functional Data”. Statistical Papers, vol. 52, no. 4, 2009, pp. 751-7, https://doi.org/10.1007/s00362-009-0280-2.
Aneiros-Pérez, G., & Vieu, P. (2009). Automatic estimation procedure in partial linear model with functional data. Statistical Papers, 52(4), 751-771. https://doi.org/10.1007/s00362-009-0280-2
Aneiros-Pérez, Germán, and Philippe Vieu. “Automatic Estimation Procedure in Partial Linear Model With Functional Data”. Statistical Papers 52, no. 4 (2009): 751-71. https://doi.org/10.1007/s00362-009-0280-2.
Aneiros-Pérez G, Vieu P. Automatic estimation procedure in partial linear model with functional data. Statistical Papers. 2009;52(4):751-7.
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Category Category Repetition
Science: Mathematics: Probabilities. Mathematical statistics7
Science: Mathematics7
Social Sciences: Economic theory. Demography: Economics as a science4
Social Sciences: Statistics2
Social Sciences: Commerce: Business2
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Citations
Title Journal Journal Categories Citations Publication Date
Semi-Functional Partial Linear Quantile Regression Model with Randomly Censored Responses Communications in Mathematics and Statistics
  • Science: Mathematics
 2024
Asymptotic normality of the local linear estimator of the functional expectile regression Journal of Multivariate Analysis
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Social Sciences: Commerce: Business: Accounting. Bookkeeping
  • Social Sciences: Finance
  • Science: Mathematics
 2024
Local linear-$k$NN smoothing for semi-functional partial linear regression

 Hacettepe Journal of Mathematics and Statistics 2024
Functional Nonparametric Predictions in Food Industry Using Near-Infrared Spectroscopy Measurement Computers, Materials & Continua 2 2023
Spatio-Functional Local Linear Asymmetric Least Square Regression Estimation: Application for Spatial Prediction of COVID-19 Propagation

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  • Science: Mathematics
  • Science: Science (General)
 2023
Citations Analysis
Category Category Repetition
Science: Mathematics27
Science: Mathematics: Probabilities. Mathematical statistics23
Social Sciences: Commerce: Business: Accounting. Bookkeeping5
Social Sciences: Finance5
Technology: Electrical engineering. Electronics. Nuclear engineering: Production of electric energy or power. Powerplants. Central stations1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
Science: Science (General)1
The category Science: Mathematics 27 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Empirical likelihood inference in mixture of semiparametric varying-coefficient models for longitudinal data with non-ignorable dropout and was published in 2012. The most recent citation comes from a 2024 study titled Semi-Functional Partial Linear Quantile Regression Model with Randomly Censored Responses. This article reached its peak citation in 2020, with 5 citations. It has been cited in 18 different journals, 11% of which are open access. Among related journals, the Journal of Multivariate Analysis cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year