Bootstrap based confidence limits in principal component analysis: a case study
Research output: Contribution to journal › Journal article › peer-review
Original language | English |
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Journal | Chemometrics and Intelligent Laboratory Systems |
Volume | 120 |
Pages (from-to) | 97-105 |
Number of pages | 9 |
ISSN | 0169-7439 |
DOIs | |
Publication status | Published - 2013 |
ID: 44036466