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Biometric multivariate

E.W. Forgy, Cluster analysis of multivariate data efficiency versus interpretability of classifications, Biometrics, 21 (1965) 768. [Pg.86]

T. Ntes, Multivariate calibration by covariance adjustment. Biometrical J., 28, 99-107 (1986). [Pg.436]

Naes, T., Multivariate Calibration by Covariance Adjustment Biometrical J. 1986, 28, 99-107. [Pg.326]

PLS is often presented as the major regression technique for multivariate data. In fact its use is not always justified by the data, and the originators of the method were well aware of this, but, that being said, in some applications PLS has been spectacularly successful. In some areas such as QSAR, or even biometrics and psychometrics,... [Pg.297]

E. Forgy, Biometrics, 21, 768 (1965). Cluster Analysis of Multivariate Data Efficiency vs. [Pg.37]

Chemometrics is the discipline concerned with the application of statistical and mathematical methods to chemical data [2.18], Multiple linear regression, partial least squares regression and the analysis of the main components are the methods that can be used to design or select optimal measurement procedures and experiments, or to provide maximum relevant chemical information from chemical data analysis. Common areas addressed by chemometrics include multivariate calibration, visualisation of data and pattern recognition. Biometrics is concerned with the application of statistical and mathematical methods to biological or biochemical data. [Pg.31]


See other pages where Biometric multivariate is mentioned: [Pg.145]    [Pg.12]    [Pg.172]    [Pg.19]    [Pg.698]    [Pg.1]    [Pg.244]    [Pg.278]    [Pg.90]   


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