REGRESSION;
INVERSE REGRESSION;
PRINCIPAL COMPONENTS;
CROSS-PREDICTION;
REGRESSION IN VARIABLE DIRECTIONS;
HOOKE SKULL DATA;
MEASUREMENT ERROR MODELS;
D O I:
10.1080/03610929008830441
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:
This paper presents a simply viewed framework that brings together various concepts of regression, prediction, and principal components. Several new concepts related to prediction are introduced, and then the interrelationships of these concepts are established. The generalizations are examined in detail and are illustrated in the context of a well known data set.