SELECTIVITY, LOCAL RANK, 3-WAY DATA-ANALYSIS AND AMBIGUITY IN MULTIVARIATE CURVE RESOLUTION

被引：832
作者：
TAULER, R
SMILDE, A
KOWALSKI, B
机构：
[1] UNIV AMSTERDAM,ANALYT CHEM LAB,1018 WV AMSTERDAM,NETHERLANDS
[2] UNIV WASHINGTON,CTR PROC ANALYT CHEM,SEATTLE,WA 98195
来源：
JOURNAL OF CHEMOMETRICS | 1995年 / 9卷 / 01期
关键词：
MULTIVARIATE CURVE RESOLUTION; 3-WAY DATA ANALYSIS; FACTOR ANALYSIS;
D O I：
10.1002/cem.1180090105
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new multivariate curve resolution method is presented and tested with data of various levels of complexity. Rotational and intensity ambiguities and the effect of selectivity on resolution are the focus. Analysis of simulated data provides the general guidelines concerning the conditions for uniqueness of a solution for a given problem. Multivariate curve resolution is extended to the analysis of three-way data matrices. The particular case of three-way data where only one of the orders is common between slices is studied in some detail.
引用
收藏
页码：31 / 58
页数：28
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