Bivariate regression splines
| dc.citation.epage | 418 | en_US |
| dc.citation.issue | 4 | en_US |
| dc.citation.spage | 399 | en_US |
| dc.citation.volume | 21 | en_US |
| dc.citation.woscount | 2 | |
| dc.contributor.author | Chen, LA | en_US |
| dc.contributor.department | 統計學研究所 | zh_TW |
| dc.contributor.department | Institute of Statistics | en_US |
| dc.date.accessioned | 2014-12-08T15:02:45Z | |
| dc.date.available | 2014-12-08T15:02:45Z | |
| dc.date.issued | 1996-04-01 | en_US |
| dc.description.abstract | Towards the construction of multivariate spline functions, we introduce a way to set linear restrictions in the generation of bivariate regression splines. The hyperplanes in R(2) are used in the role of ''knot'' to slice the domain of explanatory variables; hence, we have the flexibility in domain partition which includes rectangle, parallelogram, trapezoid and trapezium. | en_US |
| dc.identifier.doi | 10.1016/0167-9473(94)00026-3 | en_US |
| dc.identifier.issn | 0167-9473 | en_US |
| dc.identifier.journal | COMPUTATIONAL STATISTICS & DATA ANALYSIS | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1016/0167-9473(94)00026-3 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/1391 | |
| dc.identifier.wosnumber | WOS:A1996UC91100002 | |
| dc.language.iso | en_US | en_US |
| dc.subject | bivariate regression spline | en_US |
| dc.subject | hyperplane | en_US |
| dc.subject | linear restriction | en_US |
| dc.subject | piecewise polynomial | en_US |
| dc.title | Bivariate regression splines | en_US |
| dc.type | Article | en_US |