学术探索
学术期刊
新闻热点
数据分析
智能评审

CONSISTENCY OF REGRESSION ESTIMATES WHEN SOME VARIABLES ARE SUBJECT TO ERROR

被引：24
作者：
GALLO, PP
机构：
来源：
COMMUNICATIONS IN STATISTICS PART A-THEORY AND METHODS | 1982年 / 11卷 / 09期
关键词：
D O I：
10.1080/03610928208828287
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：
引用
收藏
页码：973 / 983
页数：11
相关论文
共 13 条
[1]   STRONG CONSISTENCY OF LEAST-SQUARES ESTIMATES IN NORMAL LINEAR-REGRESSION [J].
ANDERSON, TW ;
TAYLOR, JB .
ANNALS OF STATISTICS, 1976, 4 (04) :788-790
[2]  
BHARGAVA AK, 1975, THESIS PURDUE U
[3]   WEAK AND STRONG CONSISTENCY OF LEAST-SQUARES ESTIMATORS IN REGRESSION MODELS [J].
DRYGAS, H .
ZEITSCHRIFT FUR WAHRSCHEINLICHKEITSTHEORIE UND VERWANDTE GEBIETE, 1976, 34 (02) :119-127
[4]   ASYMPTOTIC NORMALITY AND CONSISTENCY OF LAEAST SQUARES ESTIMATORS FOR FAMILIES OF LINAR REGRESSIONS [J].
EICKER, F .
ANNALS OF MATHEMATICAL STATISTICS, 1963, 34 (02) :447-&
[5]   PROPERTIES OF SOME ESTIMATORS FOR THE ERRORS-IN-VARIABLES MODEL [J].
FULLER, WA .
ANNALS OF STATISTICS, 1980, 8 (02) :407-422
[6]  
GALLO PP, 1981, THESIS U N CAROLINA
[7]   ESTIMATION IN A MULTIVARIATE ERRORS IN VARIABLES REGRESSION-MODEL - LARGE SAMPLE RESULTS [J].
GLESER, LJ .
ANNALS OF STATISTICS, 1981, 9 (01) :24-44
[8]  
Healy J. D., 1975, THESIS PURDUE U
[9]  
KENDALL MG, 1961, ADV THEORY STATISTIC
[10]   STRONG CONSISTENCY OF LEAST-SQUARES ESTIMATES IN MULTIPLE-REGRESSION [J].
LAI, TL ;
ROBBINS, H ;
WEI, CZ .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1978, 75 (07) :3034-3036
12