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Improved maximum-likelihood estimation in a regression model with general parametrization
(TAYLOR & FRANCIS LTD, 2011)
We analyse the finite-sample behaviour of two second-order bias-corrected alternatives to the maximum-likelihood estimator of the parameters in a multivariate normal regression model with general parametrization proposed ...
Multivariate quality control studies applied to Ca(II) and Mg(II) determination by a portable method
(Wiley-Blackwell, 1998-09-01)
A portable or field test method for simultaneous spectrophotometric determination of calcium and magnesium in water using multivariate partial least squares (PLS) calibration methods is proposed. The method is based on the ...
Multivariate quality control studies applied to Ca(II) and Mg(II) determination by a portable method
(Wiley-Blackwell, 1998-09-01)
A portable or field test method for simultaneous spectrophotometric determination of calcium and magnesium in water using multivariate partial least squares (PLS) calibration methods is proposed. The method is based on the ...
Multivariate quality control studies applied to Ca(II) and Mg(II) determination by a portable method
(1998-01-01)
A portable or field test method for simultaneous spectrophotometric determination of calcium and magnesium in water using multivariate partial least squares (PLS) calibration methods is proposed. The method is based on the ...
Multi-analyte quantification in bioprocesses by FTIR spectroscopy using Partial Least Squares Regression and Multivariate Curve Resolution
(Elsevier Science, 2014-01)
This paper presents the quantification of Penicillin V and phenoxyacetic acid, a precursor, inline during Pencillium chrysogenum fermentations by FTIR spectroscopy and partial least squares (PLS) regression and multivariate ...
Spectrophotometric determination of organic dye mixtures by using multivariate calibration
(Elsevier Science BvAmsterdamHolanda, 1998)
The optimal brain surgeon for pruning neural network architecture applied to multivariate calibration
(Elsevier Science BvAmsterdamHolanda, 1998)
Maximum likelihood unfolded principal component regression with residual bilinearization (MLU-PCR/RBL) for second-order multivariate calibration
(Elsevier Science, 2017-11)
A maximum likelihood model is described for performing second-order multivariate calibration with unfolded principal component regression with residual bilinearization (MLU-PCR/RBL). It differs from the conventional RBL ...
Application of k-means clustering, linear discriminant analysis and multivariate linear regression for the development of a predictive QSAR model on 5-lipoxygenase inhibitors
(Elsevier Science, 2015-04)
In this work, we performed a quantitative structure activity relationship (QSAR) model for a family of 5-lipoxygenase (5-LOX) inhibitors using k-means clustering and linear discriminant analysis (LDA) for the selection of ...