A DISTANCE BASED REGRESSION-MODEL FOR PREDICTION WITH MIXED DATA

被引：65
|
作者：
CUADRAS, CM
ARENAS, C
机构：
[1] Departament d'Estadistica, Universitat de Barcelona, 08028, Barcelona
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1990年 / 19卷 / 06期
关键词：
coordinate analysis; distance analysis; mixed qualitative and quantitative data; multiple linear regression; principal; principal component regression;
D O I：
10.1080/03610929008830319
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：
A multiple regression method based on distance analysis and metric scaling is proposed and studied. This method allow us to predict a continuous response variable from several explanatory variables, is compatible with the general linear model and is found to be useful when the predictor variables are both continuous and categorical. Real data examples are given to illustrate the results obtained. © 1990, Taylor & Francis Group, LLC. All rights reserved.
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页码：2261 / 2279
页数：19
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