ON ESTIMATING LINEAR RELATIONSHIPS WHEN BOTH VARIABLES ARE SUBJECT TO ERRORS

被引：0

作者：

CHENG, CL ^{[1
]}

VANNESS, JW ^{[1
]}

机构：

[1] UNIV TEXAS,PROGRAMS MATH SCI,RICHARDSON,TX 75083

来源：

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL | 1994年 / 56卷 / 01期

关键词：

CONFIDENCE SET; ERRORS-IN-VARIABLES MODEL; FUNCTIONAL RELATIONSHIP; MEASUREMENT ERROR MODEL; STRUCTURAL RELATIONSHIP; ULTRASTRUCTURAL RELATIONSHIP;

D O I：

暂无

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 discusses the problem of estimating a linear relationship between two variables observed with errors. It focuses on confidence intervals for the slope parameter and confidence regions for the intercept and slope parameters in Gaussian models. A compendium of existing results as well as new results are presented.

引用

页码：167 / 183

页数：17

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