摘要
对一般线性回归模型中有关参数估计分布的模拟问题 ,给出一种随机加权逼近的再构造方法 .此法不仅形式简洁 ,直观意义强 ,对模型具有稳健性 ,而且还能适用于其它有关情形 .
A reconstructing method for random weighting approximations is proposed in approach to the distributions of the parameter estimates in general linear regression model. This method is simple in expressions with model-robustness and some explicit meanings,and it can be widely applied to other related cases.
出处
《华南师范大学学报（自然科学版）》
CAS
2003年第1期87-90,共4页
Journal of South China Normal University(Natural Science Edition)
关键词
线性回归模型
随机加权逼近
再构造方法
general linear regression model
random weighting approximations
a reconstructing method
