Introduction to multivariate calibration in analytical chemistry

By Richard G. Brereton. 2000

587 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Food Science, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/538532ba68971b9511a4d8489f43f904d26bb935

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Johan Trygg
2. Ching-Chung Kuo
3. Robert Sabatier
4. R. Joffre
5. Thomas Verron
6. Robert Powers
7. Bradley Worley
8. David J. Biagioni

In Food Science

1. Johan Trygg
2. Ching-Chung Kuo

In Spectroscopy

1. Johan Trygg
2. Ching-Chung Kuo
3. Robert Sabatier
4. R. Joffre
5. Thomas Verron
6. David J. Biagioni

Citations in the corpus

• Prediction and spectral profile estimation in multivariate calibration (2004, methodology): “Multivariate calibration [1,2] is a methodology used to establish a quantitative relationship between a matrix X, and a second matrix Y.”
• The successive projections algorithm for interval selection in PLS (2013, unknown): “[24].”
• A comparison of two statistical estimators in inverse prediction (2012, background): “In comparison, xI has found applications in a much wider range of fields including drug testing (Ruskin, 1989), analytic chemistry (Brereton, 2000), and thermometer measurement (Chen, 2006) to name just a few.”