標題: 兩面迴歸其切割面的貝氏估計
A Bayesian Approach of Change Hyperplane for Two-Phase Regression Model
作者: 涂凱文
Kai-Wen Tu
陳 鄰 安
Dr. Lin-An Chen
應用數學系所
關鍵字: 兩面多維線性迴歸, 貝氏估計, 切割面;Two - Phase Multiple Linear Regression and Bayesian Estimation and Change Hyperplane
公開日期: 1992
摘要: 本論文的目標在估計兩面多維線性迴歸的切割面.針對三種不同的事前假 設 ,我們採取貝氏的方法去估計切割面.最後,以蒙地卡羅的模擬實驗來說 明利用貝氏方法所得結果是個很好的估計方法. We consider the estimation problem of change hyperplane for a two phase multiple linear regression model. A Bayesian technique has been proposed for three underlying assumption sets. Also, a Monte Caro study show that the proposed Bayesian technique has very good performance under two criterions.
URI: http://140.113.39.130/cdrfb3/record/nctu/#NT810507024
http://hdl.handle.net/11536/57127
Appears in Collections:Thesis