PARTIAL LEAST-SQUARES PATH MODELING WITH LATENT-VARIABLES

被引：163

作者：

GERLACH, RW ^{[1
]}

KOWALSKI, BR ^{[1
]}

WOLD, HOA ^{[1
]}

机构：

[1] UNIV WASHINGTON, DEPT CHEM, CHEMOMETR LAB, SEATTLE, WA 98195 USA

来源：

ANALYTICA CHIMICA ACTA-COMPUTER TECHNIQUES AND OPTIMIZATION | 1979年 / 3卷 / 04期

关键词：

D O I：

10.1016/S0003-2670(01)85039-X

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

A partial least-squares treatment of multivariate data related through a complex model allows simultaneous evaluation of the interactions between large numbers of features. Results are given for a model in which water sources flow together; each source is represented by water quality data to allow the influence of the various sources to be evaluated with respect to their importance on the resulting flow downstream. © 1979.

引用

页码：417 / 421

页数：5

共 11 条

[1] BROWN SD, 1978, THESIS U WASHINGTON
[2] GNANADESIKAN R, 1977, METHODS STATISTICAL, P69
[3] MCWHORTER DB, 1975, USEPA670 ENV PROT TE
[4] Napier D., 1972, MULTIDIMENSIONAL SCA, VI, P157
[5] SKOGERBOE RK, COMMUNICATION
[6] Weiner P. H., 1970, Journal of Physical Chemistry, V74, P4537, DOI 10.1021/j100720a013
[7] Wold H., 1977, Mathematical economics and game thoery, P536
[8] Wold H, 1966, RES PAPERS STAT, P411
[9] Wold H., 1975, QUANTITATIVE SOCIOLO, P307
[10] Wold H, 1966, MULTIVARIATE ANAL, P391, DOI DOI 10.1007/S00423-022-02505-9

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