Doing least squares: Perspectives from Gauss and Yule

被引：33

作者：

Aldrich, J ^{[1
]}

机构：

[1] Univ Southampton, Dept Econ, Southampton SO17 1BJ, Hants, England

来源：

INTERNATIONAL STATISTICAL REVIEW | 1998年 / 66卷 / 01期

关键词：

least squares; Gauss; Yule; Fisher; Aitken; elimination; partial correlation; orthogonalisation; projection;

D O I：

10.2307/1403657

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Gauss introduced a procedure for calculating least squares estimates and their precisions. Yule introduced a new system of notation adapted to correlation analysis. This paper describes these formalisms and compares them with the matrix and vector space formalisms used in modern regression analysis.

引用

页码：61 / 81

页数：21

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