INFORMATION-CONTENT OF DATA AND VARIABLES AND TYPES OF WEIGHTING IN LEAST-SQUARES REGRESSION METHODS

被引：9

作者：

BAEZA, JJB ^{[1
]}

RAMOS, GR ^{[1
]}

FERNANDEZ, CM ^{[1
]}

机构：

[1] UNIV VALENCIA,FAC QUIM,DEPT QUIM ANALIT,E-46100 BURJASSOT,SPAIN

来源：

ANALYTICA CHIMICA ACTA | 1990年 / 237卷 / 02期

关键词：

Information content of data; Regression evaluation of parameters;

D O I：

10.1016/S0003-2670(00)83951-3

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Algorithms are given for evaluating the relative amount of useful information related to a particular parameter which is carried by individual data points and intervals of the variables. The algorithms provide an efficient means of using the information contained in a set of data. Applications to the optimization of weighting in regression methods are described. Several informational and combined informational-statistical types of weighting are studied as a means of improving the accuracy and precision of the parameters obtained by non-linear regression. © 1990.

引用

页码：473 / 484

页数：12

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