LEAST-SQUARES REGRESSION VS GEOMETRIC MEAN REGRESSION FOR ECOTOXICOLOGY STUDIES

被引：15

作者：

ANGLETON, GM ^{[1
]}

BONHAM, CD ^{[1
]}

机构：

[1] COLORADO STATE UNIV,DEPT RANGELAND ECOSYST SCI,FT COLLINS,CO 80523

来源：

APPLIED MATHEMATICS AND COMPUTATION | 1995年 / 72卷 / 01期

关键词：

D O I：

10.1016/0096-3003(94)00161-V

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Least squares linear regression and geometric mean regression analysis procedures are compared for use in analyzing ecotoxicology data. These data are characterized by both response data and environmental factor data being measured with error. According to cited literature, when factor data are measured with error, regression analyses for response as a function of environmental factors should be performed using geometric mean regression. A case is made in the current paper that it is more appropriate to use least squares regression in analyses of such data rather than geometric mean regression.

引用

页码：21 / 32

页数：12

共 7 条

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