WEIGHTED LEAST-SQUARES EVALUATION OF SLOPE FROM DATA HAVING ERRORS IN BOTH AXES

被引:10
作者
KALANTAR, AH
机构
关键词
D O I
10.1016/0165-9936(90)87014-D
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
引用
收藏
页码:149 / 151
页数:3
相关论文
共 13 条
[1]   ARE THERE 2 REGRESSIONS [J].
BERKSON, J .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1950, 45 (250) :164-180
[2]  
CHRISTIAN SD, 1986, AM LAB, V18, P33
[3]  
EMERSON JD, 1983, UNDERSTANDING ROBUST, pCH5
[4]  
Gibbons Natrella M, 1963, NBS HDB, V91
[5]  
GUEST PG, 1961, NUMERICAL METHODS CU, pCH9
[6]   ON THE METHOD OF LEAST-SQUARES .2. [J].
JEFFERYS, WH .
ASTRONOMICAL JOURNAL, 1981, 86 (01) :149-155
[7]  
JOHNSTON J, 1963, ECONOMETRIC METHODS, pCH6
[8]   FITTING STRAIGHT LINES WHEN BOTH VARIABLES ARE SUBJECT TO ERROR .1. MAXIMUM LIKELIHOOD AND LEAST-SQUARES ESTIMATION [J].
JONES, TA .
JOURNAL OF THE INTERNATIONAL ASSOCIATION FOR MATHEMATICAL GEOLOGY, 1979, 11 (01) :1-25
[9]   SLOPES OF STRAIGHT-LINES WHEN NEITHER AXIS IS ERROR-FREE [J].
KALANTAR, AH .
JOURNAL OF CHEMICAL EDUCATION, 1987, 64 (01) :28-29
[10]   A BETTER LEAST-SQUARES METHOD WHEN BOTH VARIABLES HAVE UNCERTAINTIES [J].
LYBANON, M .
AMERICAN JOURNAL OF PHYSICS, 1984, 52 (01) :22-26