Semi-functional partial linear regression

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Aneiros-Pérez, Germán, and Philippe Vieu. “Semi-Functional Partial Linear Regression”. Statistics &Amp; Probability Letters, vol. 76, no. 11, 2006, pp. 1102-10, https://doi.org/10.1016/j.spl.2005.12.007.
Aneiros-Pérez, G., & Vieu, P. (2006). Semi-functional partial linear regression. Statistics &Amp; Probability Letters, 76(11), 1102-1110. https://doi.org/10.1016/j.spl.2005.12.007
Aneiros-Pérez, Germán, and Philippe Vieu. “Semi-Functional Partial Linear Regression”. Statistics &Amp; Probability Letters 76, no. 11 (2006): 1102-10. https://doi.org/10.1016/j.spl.2005.12.007.
Aneiros-Pérez G, Vieu P. Semi-functional partial linear regression. Statistics & Probability Letters. 2006;76(11):1102-10.
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Refrences Analysis
Category Category Repetition
Science: Mathematics: Probabilities. Mathematical statistics7
Science: Mathematics7
Social Sciences: Economic theory. Demography: Economics as a science2
Social Sciences: Statistics1
Social Sciences: Commerce: Business1
The category Science: Mathematics: Probabilities. Mathematical statistics 7 is the most frequently represented among the references in this article. It primarily includes studies from The Annals of Statistics and Bernoulli. The chart below illustrates the number of referenced publications per year.
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Citations
Title Journal Journal Categories Citations Publication Date
Network-level traffic flow prediction: Functional time series vs. functional neural network approach The Annals of Applied Statistics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 2024
Local linear-$k$NN smoothing for semi-functional partial linear regression

 Hacettepe Journal of Mathematics and Statistics 2024
Testing for Error Correlation in Semi-Functional Linear Models Journal of Systems Science and Complexity
  • Science: Mathematics
  • Science: Mathematics
 2023
Robust estimation for functional quadratic regression models Computational Statistics & Data Analysis
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 1 2023
Addressing robust estimation in covariate–specific ROC curves Econometrics and Statistics 2023
Citations Analysis
Category Category Repetition
Science: Mathematics140
Science: Mathematics: Probabilities. Mathematical statistics123
Social Sciences: Commerce: Business: Accounting. Bookkeeping22
Social Sciences: Finance22
Science: Mathematics: Instruments and machines: Electronic computers. Computer science12
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods7
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks3
Technology: Electrical engineering. Electronics. Nuclear engineering: Production of electric energy or power. Powerplants. Central stations2
Geography. Anthropology. Recreation: Environmental sciences2
Technology: Environmental technology. Sanitary engineering2
Science: Biology (General): Ecology2
Technology: Engineering (General). Civil engineering (General)2
Science: Physics1
Medicine1
Science1
Science: Science (General)1
Technology: Mechanical engineering and machinery1
Technology: Hydraulic engineering: River, lake, and water-supply engineering (General)1
Science: Geology1
Geography. Anthropology. Recreation: Geography (General)1
Social Sciences: Statistics1
Science: Biology (General)1
Medicine: Medicine (General): Computer applications to medicine. Medical informatics1
The category Science: Mathematics 140 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Nonparametric time series prediction: A semi-functional partial linear modeling and was published in 2008. 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 2016, with 21 citations. It has been cited in 47 different journals, 14% of which are open access. Among related journals, the Journal of Multivariate Analysis cited this research the most, with 22 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year