用QR分解拟合回归方程参数估计和剩余的迭代加细
ITERATIVE REFINEMENT OF PARAMETER ESTIMATES AND RESIDUALS FROM A REGRESSION MODEL FITTED USING QR DECOMPOSITION METHODS作者机构:南京气象学院数学系南京210044
出 版 物:《数值计算与计算机应用》 (Journal on Numerical Methods and Computer Applications)
年 卷 期:2000年第21卷第4期
页 面:308-313页
核心收录:
学科分类:02[经济学] 0202[经济学-应用经济学] 020208[经济学-统计学] 07[理学] 0714[理学-统计学(可授理学、经济学学位)] 070103[理学-概率论与数理统计] 0701[理学-数学]
摘 要:Algorithms for iteratively refining the parameter estimates and residuals from the fitting of a regression model using QR decomposition methods are described, It is shown that if square root free algorithms for performing the QR decomposition are used the related iterative refinement algorithms can also be square root free. Testing of the algorithms is carried out and comments made about accuracies of parameter estimates.