Semi-functional partially linear regression model with responses missing at random
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2018/10/03
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Journal
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Indian UGC (journal)
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Refrences33
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Citations9
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Nengxiang Ling
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Rui Kan
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Philippe Vieu
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Shuyu Meng
Cite
Ling, Nengxiang, et al. “Semi-Functional Partially Linear Regression Model With Responses Missing at Random”. Metrika, vol. 82, no. 1, 2018, pp. 39-70, https://doi.org/10.1007/s00184-018-0688-6.
Ling, N., Kan, R., Vieu, P., & Meng, S. (2018). Semi-functional partially linear regression model with responses missing at random. Metrika, 82(1), 39-70. https://doi.org/10.1007/s00184-018-0688-6
Ling, Nengxiang, Rui Kan, Philippe Vieu, and Shuyu Meng. “Semi-Functional Partially Linear Regression Model With Responses Missing at Random”. Metrika 82, no. 1 (2018): 39-70. https://doi.org/10.1007/s00184-018-0688-6.
1.
Ling N, Kan R, Vieu P, Meng S. Semi-functional partially linear regression model with responses missing at random. Metrika. 2018;82(1):39-70.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Robust location estimation with missing data | Canadian Journal of Statistics |
| 9 | 2013 |
| An introduction to recent advances in high/infinite dimensional statistics | Journal of Multivariate Analysis |
| 162 | 2016 |
| Generalized Wald-type tests based on minimum density power divergence estimators | Statistics |
| 31 | 2016 |
| Nonparametric regression estimation for functional stationary ergodic data with missing at random | Journal of Statistical Planning and Inference |
| 41 | 2015 |
Components and Completion of Partially Observed Functional Data | Journal of the Royal Statistical Society Series B: Statistical Methodology |
| 44 | 2015 |
Refrences Analysis
The category
Science: Mathematics: Probabilities. Mathematical statistics 12
is the most frequently represented among the references in this article. It primarily includes studies from Computational Statistics and Journal of the American Statistical Association. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Citations Analysis
The category
Science: Mathematics: Probabilities. Mathematical statistics 6
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Estimation for functional partial linear models with missing responses and was published in 2020. 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 2023, with 3 citations. It has been cited in 8 different journals, 12% 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.