A methodology to detect outliers/inliers in prediction with PLS

Juan Fernandez Pierna, Ling Jin, Michal Daszykowski, F. Wahl, Desire Massart

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

Original language	English
Journal	Chemometrics and Intelligent Laboratory Systems
Publication status	Published - 2003

Chemom. Intell. Lab. Systems, 68, 17-28

Cite this

@article{21fe3c6e8a134cf79c65be0696f63c6b,

title = "A methodology to detect outliers/inliers in prediction with PLS",

author = "{Fernandez Pierna}, Juan and Ling Jin and Michal Daszykowski and F. Wahl and Desire Massart",

note = "Chemom. Intell. Lab. Systems, 68, 17-28",

year = "2003",

language = "English",

journal = "Chemometrics and Intelligent Laboratory Systems",

issn = "0169-7439",

publisher = "Elsevier",

}

TY - JOUR

T1 - A methodology to detect outliers/inliers in prediction with PLS

AU - Fernandez Pierna, Juan

AU - Jin, Ling

AU - Daszykowski, Michal

AU - Wahl, F.

AU - Massart, Desire

N1 - Chemom. Intell. Lab. Systems, 68, 17-28

PY - 2003

Y1 - 2003

M3 - Article

SN - 0169-7439

JO - Chemometrics and Intelligent Laboratory Systems

JF - Chemometrics and Intelligent Laboratory Systems

ER -