Chemometric analysis of multisensor arrays

Autor:	Eugenio Sanchez, Kenneth R. Beebe, Paul Geladi, Bruce R. Kowalski, W. Patrick. Carey
Rok vydání:	1986
Předmět:	Data processing Rank (linear algebra) Computer science business.industry Calibration (statistics) General Engineering Linear model Pattern recognition Collinearity Partial least squares regression Linear regression Principal component regression Artificial intelligence business
Zdroj:	Sensors and Actuators. 9:223-234
ISSN:	0250-6874
DOI:	10.1016/0250-6874(86)80023-3
Popis:	A review of multivariate calibration techniques and their possible application to data from partially selective sensor arrays is presented. The techniques of analysis of linear models, progressing from multiple linear regression and principal components regression to partial least squares, are discussed in terms of their respective ability to handle interferences and collinearity. Additional analysis models are introduced to detect underlying background problems for sensor arrays and the ability to quantitate analytes directly by rank annihilation factor analysis when two dimensional data are obtained.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bac69d87d42b37dcef519c923ba7d43a https://doi.org/10.1016/0250-6874(86)80023-3 Zobrazit plný text záznamu