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dc.contributor.author柯文柔en_US
dc.contributor.authorWen-Rou Keen_US
dc.contributor.author陳鄰安en_US
dc.contributor.authorLin-An Chenen_US
dc.date.accessioned2014-12-12T02:10:59Z-
dc.date.available2014-12-12T02:10:59Z-
dc.date.issued1992en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#NT810507027en_US
dc.identifier.urihttp://hdl.handle.net/11536/57130-
dc.description.abstract本文中我們討論兩種任意K次多面且平滑的多變量迴歸模式.在參數空間 上,我們建立的線性限制式能在相鄰兩個區域上滿足自由度j連續的條件, 並且我們可以利用"限制式最小平方估計法"來計算此多面且平滑的多變量 迴歸估計式. We purpose two types of multivariate regression model of arbitary polynomial order k. The linear restrictions on the parameter spa- ce that fulfill the degree j continuity of neighboring multivari- ate polynomials are derived and then the multivariate regression splines can be obtained by using the restricted least squares es- timator of regression parameters.zh_TW
dc.language.isoen_USen_US
dc.subject多面且平滑的多變量迴歸; 限制式最小平方法; 限制式矩陣; 節點;zh_TW
dc.subjectMultivariate Regression Splines; Restricted Least Squares; Restriction Matrix; Knot;en_US
dc.title多面且平滑的多變量迴歸zh_TW
dc.titleMULTIVARIATE REGRESSION SPLINEen_US
dc.typeThesisen_US
dc.contributor.department應用數學系所zh_TW
Appears in Collections:Thesis