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Empirical likelihood inference for partial functional linear regression models based on B spline
| Content Provider | Semantic Scholar |
|---|---|
| Author | Yuan, Mingao Zhang, Yue |
| Copyright Year | 2017 |
| Abstract | In this paper, we apply empirical likelihood method to inference for the regression parameters in the partial functional linear regression models based on B spline. We prove that the empirical log likelihood ratio for the regression parameters converges in law to a weighted sum of independent chi square distributions and run simulations to assess the finite sample performance of our method. |
| Starting Page | 135 |
| Ending Page | 135 |
| Page Count | 1 |
| File Format | PDF HTM / HTML |
| DOI | 10.5539/ijsp.v8n1p135 |
| Alternate Webpage(s) | https://arxiv.org/pdf/1711.00052v1.pdf |
| Alternate Webpage(s) | http://www.ccsenet.org/journal/index.php/ijsp/article/download/0/0/37918/38366 |
| Alternate Webpage(s) | https://doi.org/10.5539/ijsp.v8n1p135 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |