A LARGE SAMPLE ESTIMATE IN MEDIAN LINEAR REGRESSION MODEL Ⅰ: NONTRUNCATED CASE

被引：0
|
作者：
陈希孺
机构：
来源：
Acta Mathematica Scientia | 1990年 / 04期
关键词：
A LARGE SAMPLE ESTIMATE IN MEDIAN LINEAR REGRESSION MODEL; NONTRUNCATED CASE;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper uses a grouping-adjusting procedure to the data from a median linear regression model, and estimtes the regression coefficients by the method of weighted least squares. This method simplifies computation and in the meantime, preserves the same asymptotic normal distribution for the estimator, as in the ordinary minimum L1-norm estimates.
引用
收藏
页码：412 / 421
页数：10
相关论文
共 50 条
12345