POLYNOMIAL (LINEAR IN PARAMETERS) LEAST-SQUARES ANALYSIS WHEN ALL EXPERIMENTAL-DATA ARE SUBJECT TO RANDOM ERRORS

被引：7

作者：

LISY, JM

CHOLVADOVA, A

DROBNA, B

机构：

[1] Faculty of Chemical Technology, Slovak Technical University, 812 37 Bratislava

来源：

COMPUTERS & CHEMISTRY | 1991年 / 15卷 / 02期

关键词：

D O I：

10.1016/0097-8485(91)80038-N

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

An iterative method for the least squares fitting of experimental data to polynomial (linear in parameters) models without initial parameter guesses and with the true least squares solution, including the variance-covariance matrix, is presented. The algorithm does not require any linerization of model or normal equations and prevents oscillation and divergence in the solutions.

引用

页码：135 / 141

页数：7

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