PRINCIPAL COMPONENT ESTIMATORS AND MINIMUM MEAN SQUARE ERROR CRITERIA IN REGRESSION ANALYSIS

被引：10

作者：

FAREBROT.RW ^{[1
]}

机构：

[1] UNIV MANCHESTER,MANCHESTER,ENGLAND

来源：

关键词：

D O I：

10.2307/1937996

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

引用

页码：332 / 336

页数：5

共 11 条

[1]

Anderson T. W., 1958, INTRO MULTIVARIATE S

[2]

BIRKHOFF G, 1965, SURVEY MODERN ALGEBR

[3] MULTICOLLINEARITY IN REGRESSION ANALYSIS - COMMENT [J].

HAITOVSKY, Y .

[4] SELECTION OF BEST SUBSET IN REGRESSION ANALYSIS [J].

HOCKING, RR ;

LESLIE, RN .

[5]

Kendall MG., 1957, COURSE MULTIVARIATE

[6]

LANCASTER K, 1969, MATHEMATICAL ECONOMI

[7] ARTIFICIAL ORTHOGONALIZATION IN REGRESSION ANALYSIS [J].

MCCALLUM, BT .

[8]

MITCHELL BM, 1970, 28 STANF U STANF I M

[9]

STEWART J, 1971, AM STATISTICIAN, V25, P40

[10]

THEIL H, 1961, ECONOMIC FORECASTS P