Theoretical-Experimental Regressions

被引：0
|
作者：
M. I. Kalashnikova
机构：
来源：
Computational Mathematics and Modeling | 2004年 / 15卷 / 4期
关键词：
Experimental Data; Linear Regression; Mathematical Modeling; Computational Mathematic; Multiple Linear Regression;
D O I：
10.1023/B:COMI.0000047348.14297.c8
中图分类号：
学科分类号：
摘要：
We consider a method for the construction of multiple linear regressions with a special basis. In addition to the experimental data, a tabular function is given, approximating the sought regression relationship. This tabular function is used to calculate the special basis. We also consider the case of a mixed basis in which some functions are special and the others are ordinary, e.g., polynomials. An optimal experimental design procedure based on these regressions is proposed.
引用
收藏
页码：387 / 392
页数：5
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