Comment: Spurious Correlation and Other Observations on Experimental Design for Engineering Dimensional Analysis

被引:4
|
作者
Piepel, Greg F. [1 ]
机构
[1] Pacific NW Natl Lab, Richland, WA 99354 USA
关键词
(Edited Abstract);
D O I
10.1080/00401706.2013.778792
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
Greg F. Piepel shares his views on spurious correlation and other observations on experimental design for engineering dimensional analysis (DA). The ANAC approach to develop a model-robust experimental design for a DA problem is to develop a design that maximizes the efficiency of a specified empirical model in the original independent variables, subject to a minimum efficiency for a DA model expressed using dimensionless groups (DGs). The ANAC approach has specifically considered D-efficiency of designs for an empirical model and D-efficiency or U-efficiency for DA designs, as given by a number of equations. ANAC considers empirical models such as a 'linear terms plus two-factor interactions' model and a second-order polynomial model to achieve the goals.
引用
收藏
页码:286 / 289
页数:4
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