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Partially Linear Generalized Single Index Models for Functional Data (PLGSIMF)
| Content Provider | MDPI |
|---|---|
| Author | Alahiane, Mohamed Ouassou, Idir Rachdi, Mustapha Vieu, Philippe |
| Copyright Year | 2021 |
| Abstract | Single-index models are potentially important tools for multivariate non-parametric regression analysis. They generalize linear regression models by replacing the linear combination |
| Ending Page | 813 |
| Page Count | 21 |
| Starting Page | 793 |
| e-ISSN | 2571905X |
| DOI | 10.3390/stats4040047 |
| Journal | Stats |
| Issue Number | 4 |
| Volume Number | 4 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-09-27 |
| Access Restriction | Open |
| Subject Keyword | Stats Statistics and Probability Asymptotic Normality Functional Data Analysis (fda) Polynomial Splines Quasi-likelihood Semi-parametric Regression Single-index Model |
| Content Type | Text |
| Resource Type | Article |