SELECTION OF VARIABLES IN LINEAR-REGRESSION USING THE MINIMUM SUM OF WEIGHTED ABSOLUTE ERRORS CRITERION

被引：21

作者：

NARULA, SC ^{[1
]}

WELLINGTON, JF ^{[1
]}

机构：

[1] PENN STATE UNIV, BEHREND COLL, DEPT BUSINESS ADM, ERIE, PA 16563 USA

来源：

关键词：

D O I：

10.2307/1267751

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

页码：299 / 306

页数：8

共 8 条

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[2] LESLIE RN, 1967, THESIS TEXAS AM COLL
[3] PREDICTION, LINEAR-REGRESSION AND MINIMUM SUM OF RELATIVE ERRORS
NARULA, SC
WELLINGTON, JF
[J]. TECHNOMETRICS, 1977, 19 (02) : 185 - 190
[4] ALGORITHM FOR MINIMUM SUM OF WEIGHTED ABSOLUTE ERRORS REGRESSION
NARULA, SC
WELLINGTON, JF
[J]. COMMUNICATIONS IN STATISTICS PART B-SIMULATION AND COMPUTATION, 1977, 6 (04): : 341 - 352
[5] NARULA SC, 1972, AM STAT, V26, P42
[6] PROCEDURE FOR OPTIMAL STEPWISE MSAE REGRESSION-ANALYSIS
ROODMAN, GM
[J]. OPERATIONS RESEARCH, 1974, 22 (02) : 393 - 399
[7] WALLS RE, 1969, AM STAT, V23, P25
[8] TECHNOMETRICS, DOI DOI 10.1080/00401706.1970.10488634