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- W143723800 abstract "The availability of powerful, rapid, analytical methods that generate large amounts of raw data, such as chromatographic, spectrometric, and electrophoretic techniques, coupled with the growing needs of process and quality control and fraud prevention in dairy science and technology, has led to the use of an array of multivariate statistical techniques for data treatment, analysis, and presentation. This article presents a general outline of techniques used in the pretreatment of analytical data, and of multivariate statistical techniques used in exploratory and inferential analysis. The principles behind the most frequently used descriptive (principal component analysis, multidimensional scaling, cluster analysis) and inferential (discriminant analysis, multiple linear regression, partial least square regression) methods are outlined and examples related to the multivariate analysis of analytical data for cheese samples are presented. Finally, the structure and application of unsupervised and supervised artificial networks for the treatment of analytical data are described briefly. A list of software packages for multivariate statistical analysis is provided." @default.
- W143723800 created "2016-06-24" @default.
- W143723800 creator A5064114089 @default.
- W143723800 date "2011-01-01" @default.
- W143723800 modified "2023-09-27" @default.
- W143723800 title "Analytical Methods | Multivariate Statistical Tools for Chemometrics" @default.
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- W143723800 doi "https://doi.org/10.1016/b978-0-12-374407-4.00009-1" @default.
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