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Dealing with missing data Part I

delete2001-09-01
delete197
PRE
AI
B
Beata Walczak *
D
D.L. Massart
DOI：10.1016/S0169-7439(01)00131-9delete
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摘要

摘要

En 中文
The principles of the iterative approach to deal with missing data are presented and the performance of this approach in multivariate methods such as PCA, PCR, PLS and N-way is studied. Matlab codes for these analyses are appended. (C) 2001 Elsevier Science B.V. All rights reserved.
Keyword:
missing data
PCA
PLS
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期刊

Chemometrics and Intelligent Laboratory Systems 封面图
Chemometrics and Intelligent Laboratory Systems
IF:
3.8
论文数:
4.6K
被引数:
1.2W

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