Principal Component Analysis: Application to Statistical Process Control

By Gilbert Saporta, N. Niang. 2010

73 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e539e45d3954e314f5715aafb93c4f68e68d4b9b

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. Lynne J. Williams
2. Dominique Valentin
3. Hervé Abdi
4. Arpan Kumar Kar
5. Sheshadri Chatterjee

In Statistics and Probability

1. Hervé Abdi
2. Dominique Valentin
3. Lynne J. Williams
4. Alan J. Geer
5. Rüdiger Lehmann
6. J. Esarey
7. J. Sumner

Citations in the corpus

• Multiple factor analysis: principal component analysis for multitable and multiblock data sets (2013, background): “These new elements are called supplementary , 75,78,89–91,102–105 illustrative , or out of sample elements.”