This paper will try to give a clear understanding of generalized additive models (GAM) and the relationship between the response variable and the predictors when linear regression is not appropriate.
| dc.contributor.author | Mayada Ali Aljehani | |
| dc.date.accessioned | 2022-06-02T16:33:14Z | |
| dc.date.available | 2022-06-02T16:33:14Z | |
| dc.degree.department | Master Degree | |
| dc.identifier.other | 6865 | |
| dc.identifier.uri | https://drepo.sdl.edu.sa/handle/20.500.14154/63777 | |
| dc.language.iso | en_US | |
| dc.publisher | Saudi Digital Library | |
| dc.title | This paper will try to give a clear understanding of generalized additive models (GAM) and the relationship between the response variable and the predictors when linear regression is not appropriate. | |
| dc.type | Thesis | |
| sdl.thesis.level | Master | |
| sdl.thesis.source | SACM - United States of America |