.png){kind=icon}
Return
Multivariate calibration
.png){kind=icon}
PRE
AI
DOI：10.1016/j.chroma.2007.03.082.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The bases of multivariate calibration are presented with special attention to some points usually not considered or underevaluated, i.e., the sampling design, the number of samples necessary to obtain a reliable regression model, the effect of noisy predictors, the significance of the parameters used to evaluate the performance ability of the regression model. (c) 2007 Elsevier B.V. All rights reserved.
Keywords:
multivariate calibration
chemometrics
regression
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4
Papers:
3.2W
Citations:
5.0W
Organization
No organization information available
Cited Papers
.png){kind=icon}
ShareSaveShareSaveShareSave
ShareSaveShareSaveShareSave
View more