Search results

Search across titles, abstracts, and (where available) the full article text. Author last-name typos are matched fuzzily.

Title	Author(s)	Year	Tags
Establishing multivariate specification regions for incoming materials	Duchesne and MacGregor	2004	application PLS specifications
Softwood lumber grading through on-line multivariate image analysis techniques	Bharati, MacGregor and Tropper	2003	control charts image monitoring
Statistical and causal model-based approaches to fault detection and isolation	Yoon and MacGregor	2000	fault detection fault diagnosis
Exponentially weighted moving principal components analysis and projections to latent structures	Wold	1994	adaptive drift EWMA kernel method
Data handling in hyperspectral image analysis	Burger and Gowen	2011	hyperspectral image reduced rank
Robust methods for partial least squares regression	Hubert and Vanden Branden	2003	robust SIMPLS
Multivariate image analysis for real time process monitoring and control	Bharati and MacGregor	1998	image monitoring multiway PCA
Time series hyperspectral chemical imaging data: Challenges, solutions and applications	Gowen, Marini, Esquerre, O'Donnell, Downey and Burger	2011	hyperspectral time series
Process analysis and abnormal situation detection: from theory to practice	Kourti	2002	application monitoring
Multivariate image analysis and regression for industrial process monitoring and product quality control	Bharati	2002	image monitoring pulp and paper texture
Real-time synchronization of batch trajectories for on-line multivariate statistical process control using Dynamic Time Warping	González-Martínez, Ferrer and Westerhuis	2011	batch missing data monitoring
Multivariate response surface modelling by principal components analysis	Bratchell	1989	optimization PCA response surfaces
Multivariate image analysis and regression for prediction of coating content and distribution in the production of snack foods	Yu and MacGregor	2003	application image monitoring
Multivariate SPC charts for monitoring batch processes	Nomikos and MacGregor	1995	adaptive alignment application batch biplot
Data-driven soft sensors in the process industry	Kadlec, Gabrys and Strandt	2009	review soft sensors
The utility of multivariate design in PLS modeling	Wold, Josefson, Gottfries and Linusson	2004	experiments QSAR
Some common misunderstandings in chemometrics	Kjeldahl and Bro	2010	interpretation PCA plots PLS
Digital imaging for online monitoring and control of industrial snack food processes	Yu, MacGregor, Haarsma and Bourg	2003	application food image PCA soft sensors
An introduction to multivariate calibration and analysis	Beebe and Kowalski	1987	calibration matrix MLR NIR tutorial
Kernel-PCA algorithms for wide data Part II: fast cross-validation and application in classification of NIR data	Wu, Massart and de Jong	1997	application classification cross validation kernel method NIR
A combined theory for PCA and PLS	Höskuldsson	1995	H-principle model size theory
Establishing Multivariate Specification Regions for Incoming Raw Materials Using Projection to Latent Structure Models: Comparison Between Direct Mapping and Model Inversion.	Paris, Duchesne and Poulin	2021	chemometrics model inversion specifications
Cross-validation in principal component analysis	Krzanowski	1987	cross validation influential observations jackknife PCA variable selection
Improved process understanding using multiway principal component analysis	Kosanovich, Dahl and Piovoso	1996	batch multiway
Latent-structure decompositions (projections) of multivariate data	Kvalheim	1987	PCA PLS SVD

« Previous Page 4 of 5 Next »