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dc.contributor.authorChen, LAen_US
dc.date.accessioned2014-12-08T15:02:45Z-
dc.date.available2014-12-08T15:02:45Z-
dc.date.issued1996-04-01en_US
dc.identifier.issn0167-9473en_US
dc.identifier.urihttp://dx.doi.org/10.1016/0167-9473(94)00026-3en_US
dc.identifier.urihttp://hdl.handle.net/11536/1391-
dc.description.abstractTowards 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.language.isoen_USen_US
dc.subjectbivariate regression splineen_US
dc.subjecthyperplaneen_US
dc.subjectlinear restrictionen_US
dc.subjectpiecewise polynomialen_US
dc.titleBivariate regression splinesen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/0167-9473(94)00026-3en_US
dc.identifier.journalCOMPUTATIONAL STATISTICS & DATA ANALYSISen_US
dc.citation.volume21en_US
dc.citation.issue4en_US
dc.citation.spage399en_US
dc.citation.epage418en_US
dc.contributor.department統計學研究所zh_TW
dc.contributor.departmentInstitute of Statisticsen_US
dc.identifier.wosnumberWOS:A1996UC91100002-
dc.citation.woscount2-
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