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Subject index volume 28
Chemometrics and intelligent laboratory systems
ELSEVIER
Chemometrics
and Intelligent
Laboratory
Systems 28 (1995) 323-325
Subject Index Volume 28 Algorithms Beyond response surfaces: recent developments in optimum experimental design 35 Artificial intelligence Robustness analysis of radial base function and multilayered feed-farward neural network models 49 Spectral curve fitting of infrared spectra obtained from semi-crystalline polyester yarns 149 Back propagation of errors net Modelling metabolic energy by neural networks 61 Batch processes Process analysis, monitoring and diagnosis, using multivariate projection methods (Tutorial) 3 Calibration Non-linear methods for multivariate statistical calibration and their use in palaeoecology: a comparison of inverse (k-nearest neighbours, partial least squares and weighted averaging partial least squares) and classical approaches 165 A user-friendly spreadsheet program for calibration using weighted regression 193 An introduction to tensor products with applications to multiway data analysis (Tutorial) 229 Chromatography Statistical study of peak overlapping in multicomponent chromatograms: importance of the retention pattern 239 Classification Pattern recognition, reflections from a chemometric point of view 23 Partial least squares regression as a multivariate tool for the interpretation of infrared spectra 129 The UNEQ, PLS and MLF neural network methods in the modelling and prediction of the colour of young red wines from the Denomination of Origin ‘Rioja’ 273 Efficiency of multi-layered feed-forward neural networks on classification in relation to linear discriminant analysis, quadratic discriminant analysis and regularized discriminant analysis 287 Use of canonical correlation analysis for the evaluation of chromatographic retention data 305 Clustering Pattern recognition, reflections from a chemometric point of view 23
Computer algorithms A standard scheme for calculating numerically standard deviations and confidence intervals 89 Computer programs/algorithms/software Beyond response surfaces: recent developments in optimum experimental design 35 A user-friendly spreadsheet program for calibration using weighted regression 193 Hypermedia - a new concept for information management (Tutorial) 213 An introduction to tensor products with applications to multiway data analysis (Tutorial) 229 Content-fit value From data to information: how to define the context? 181 Correlation techniques Use of canonical correlation analysis for the evaluation of chromatographic retention data 305 Cross-validation Non-linear methods for multivariate statistical calibration and their use in palaeoecology: a comparison of inverse (k-nearest neighbours, partial least squares and weighted averaging partial least squares) and classical approaches 165 Curve fitting Lifetime resolved fluorescence detection in chromatography. Global analysis of emission decay surfaces 99 Spectral curve fitting of infrared spectra obtained from semi-crystalline polyester yarns 149 Data bases Hypermedia - a new concept for information management (Tutorial) 213 Data management Hypermedia - a new concept for information management (Tutorial) 213 2D correlation spectroscopy A novel tool for two-dimensional correlation spectroscopy 109 Deconvolution Lifetime resolved fluorescence detection in chromatography. Global analysis of emission decay surfaces 99 An introduction to tensor products with applications to multiway data analysis (Tutorial) 229 Discriminant analysis Efficiency of multi-layered feed-forward neural networks
Subject Index Volume 28
324
on classification in relation to linear discriminant analysis, quadratic discriminant analysis and regularized discriminant analysis 287 Display techniques/graphics Pattern recognition, reflections from a chemometric point of view 23 Evolution program Outlier detection in multivariate calibration 259 Experimental design Beyond response surfaces: recent developments in optimum experimental design 35 Efficiency of multi-layered feed-forward neural networks on classification in relation to linear discriminant analysis, quadratic discriminant analysis and regularized discriminant analysis 287 Expert systems Hypermedia - a new concept for information management (Tutorial) 213 Factor analysis An introduction to tensor products with applications to multiway data analysis (Tutorial) 229 Fault diagnosis Process analysis, monitoring and diagnosis, using multivariate projection methods (Tutorial) 3 Fourier transform Statistical study of peak overlapping in multicomponent chromatograms: importance of the retention pattern 239 Genetic algorithm Robust regression and outlier models using genetic algorithms Outlier detection in multivariate Hypermedia Hypermedia ment (Tutorial) Hypertext Hypermedia ment (Tutorial) Kohonen net Modelling
detection 73 calibration
for
non-linear
259
a new concept 213
for information
manage-
a new concept 213
for information
manage-
metabolic
energy
by neural
networks
61
Latent variables An introduction to tensor products with applications to multiway data analysis (Tutorial) 229 Least squares Beyond response surfaces: recent developments in optimum experimental design 35 Lifetime resolved fluorescence detection in chromatography. Global analysis of emission decay surfaces 99 A user-friendly spreadsheet program for calibration using weighted regression 193 Linear regression A user-friendly spreadsheet program for calibration using weighted regression 193
Medical decision making From data to information: how to define the context? 181 Mid-infrared spectroscopy A novel tool for two-dimensional correlation spectroscopy 109 Modelling Modelling metabolic energy by neural networks 61 The UNEQ, PLS and MLF neural network methods in the modelling and prediction of the colour of young red wines from the Denomination of Origin ‘Rioja’ 273 Multi-component analysis Lifetime resolved fluorescence detection in chromatography. Global analysis of emission decay surfaces 99 Diagnostics and selection for linearity and interaction in calibration with pure and multicomponent spectra 139 An introduction to tensor products with applications to multiway data analysis (Tutorial) 229 Statistical study of peak overlapping in multicomponent chromatograms: importance of the retention pattern 239 Multivariate analysis Process analysis, monitoring and diagnosis, using multivariate projection methods (Tutorial) 3 Pattern recognition, reflections from a chemometric point of view 23 Lifetime resolved fluorescence detection in chromatography. Global analysis of emission decay surfaces 99 A novel tool for two-dimensional correlation spectroscopy 109 Partial least squares regression as a multivariate tool for the interpretation of infrared spectra 129 Diagnostics and selection for linearity and interaction in calibration with pure and multicomponent spectra 139 An introduction to tensor products with applications to multiway data analysis (Tutorial) 229 Efficiency of multi-layered feed-forward neural networks on classification in relation to linear discriminant analysis, quadratic discriminant analysis and regularized discriminant analysis 287 Use of canonical correlation analysis for the evaluation of chromatographic retention data 305 Multivariate calibration Outlier detection in multivariate calibration 259 Near-infrared spectroscopy A novel tool for two-dimensional correlation spectroscopy 109 Neural computation The UNEQ, PLS and MLF neural network methods in the modelling and prediction of the colour of young red wines from the Denomination of Origin ‘Rioja’ 273 Neural networks Modelling metabolic energy by neural networks 61 Efficiency of multi-layered feed-forward neural networks on classification in relation to linear discriminant analysis, quadratic discriminant analysis and regularized discriminant analysis 287 Non-linearity Robustness analysis of radial base function and multilayered feed-forward neural network models 49
Subject Index Volume 28 Diagnostics and selection for linearity and interaction in calibration with pure and multicomponent spectra 139 Spectral curve fitting of infrared spectra obtained from semi-crystalline polyester yarns 149 Non-linear methods for multivariate statistical calibration and their use in palaeoecology: a comparison of inverse (k-nearest neighbours, partial least squares and weighted averaging partial least squares) and classical approaches 165 Non-linear regression Robust regression and outlier detection for non-linear models using genetic algorithms 73 Outlier detection Outlier detection
in multivariate
calibration
259
Partial least squares Process analysis, monitoring and diagnosis, using multivariate projection methods (Tutorial) 3 Partial least squares regression as a multivariate tool for the interpretation of infrared spectra 129 Diagnostics and selection for linearity and interaction in calibration with pure and multicomponent spectra 139 Non-linear methods for multivariate statistical calibration and their use in palaeoecology: a comparison of inverse (k-nearest neighbours, partial least squares and weighted averaging partial least squares) and classical approaches 165 The UNEQ, PLS and MLF neural network methods in the modelling and prediction of the colour of young red wines from the Denomination of Origin ‘Rioja’ 273 Pattern recognition Pattern recognition, reflections from a chemometric point of view 23 An introduction to tensor products with applications to multiway data analysis (Tutorial) 229 Probability theory Partial least squares regression as a multivariate tool for the interpretation of infrared spectra 129 Statistical study of peak overlapping in multicomponent chromatograms: importance of the retention pattern 239 Process monitoring Process analysis, monitoring and diagnosis, using multivariate projection methods (Tutorial) 3 Regression A standard scheme for calculating deviations and confidence intervals
numerically 89
standard
325
Diagnostics and selection for linearity and interaction in calibration with pure and multicomponent spectra 139 Reliability A standard scheme for calculating numerically standard deviations and confidence intervals 89 Response surface Beyond response surfaces: recent developments in optimum experimental design 35
Soft modelling Robustness analysis of radial base function and multilayered feed-forward neural network models 49 Software Hypermedia - a new concept for information management (Tutorial) 213 Spectral analysis Partial least squares regression as a multivariate tool for the interpretation of infrared spectra 129 Spectral curve fitting of infrared spectra obtained from semi-crystalline polyester yarns 149 Statistical study of peak overlapping in multicomponent chromatograms: importance of the retention pattern 239 Statistical process control Process analysis, monitoring and diagnosis, using multivariate projection methods (Tutorial) 3 Structure-activity relationships Non-linear methods for multivariate statistical calibration and their use in palaeoecology: a comparison of inverse (k-nearest neighbours, partial least squares and weighted averaging partial least squares) and classical approaches 165
Validation Robustness analysis of radial base function and multilayered feed-forward neural network models 49 A standard scheme for calculating numerically standard deviations and confidence intervals 89 A user-friendly spreadsheet program for calibration using weighted regression 193
Wines colour The UNEQ, PLS and MLF neural network methods in the modelling and prediction of the colour of young red wines from the Denomination of Origin ‘Rioja’ 273
ELSEVIER
Chemometrics
and Intelligent
Laboratory
Systems 28 (1995) 323-325
Subject Index Volume 28 Algorithms Beyond response surfaces: recent developments in optimum experimental design 35 Artificial intelligence Robustness analysis of radial base function and multilayered feed-farward neural network models 49 Spectral curve fitting of infrared spectra obtained from semi-crystalline polyester yarns 149 Back propagation of errors net Modelling metabolic energy by neural networks 61 Batch processes Process analysis, monitoring and diagnosis, using multivariate projection methods (Tutorial) 3 Calibration Non-linear methods for multivariate statistical calibration and their use in palaeoecology: a comparison of inverse (k-nearest neighbours, partial least squares and weighted averaging partial least squares) and classical approaches 165 A user-friendly spreadsheet program for calibration using weighted regression 193 An introduction to tensor products with applications to multiway data analysis (Tutorial) 229 Chromatography Statistical study of peak overlapping in multicomponent chromatograms: importance of the retention pattern 239 Classification Pattern recognition, reflections from a chemometric point of view 23 Partial least squares regression as a multivariate tool for the interpretation of infrared spectra 129 The UNEQ, PLS and MLF neural network methods in the modelling and prediction of the colour of young red wines from the Denomination of Origin ‘Rioja’ 273 Efficiency of multi-layered feed-forward neural networks on classification in relation to linear discriminant analysis, quadratic discriminant analysis and regularized discriminant analysis 287 Use of canonical correlation analysis for the evaluation of chromatographic retention data 305 Clustering Pattern recognition, reflections from a chemometric point of view 23
Computer algorithms A standard scheme for calculating numerically standard deviations and confidence intervals 89 Computer programs/algorithms/software Beyond response surfaces: recent developments in optimum experimental design 35 A user-friendly spreadsheet program for calibration using weighted regression 193 Hypermedia - a new concept for information management (Tutorial) 213 An introduction to tensor products with applications to multiway data analysis (Tutorial) 229 Content-fit value From data to information: how to define the context? 181 Correlation techniques Use of canonical correlation analysis for the evaluation of chromatographic retention data 305 Cross-validation Non-linear methods for multivariate statistical calibration and their use in palaeoecology: a comparison of inverse (k-nearest neighbours, partial least squares and weighted averaging partial least squares) and classical approaches 165 Curve fitting Lifetime resolved fluorescence detection in chromatography. Global analysis of emission decay surfaces 99 Spectral curve fitting of infrared spectra obtained from semi-crystalline polyester yarns 149 Data bases Hypermedia - a new concept for information management (Tutorial) 213 Data management Hypermedia - a new concept for information management (Tutorial) 213 2D correlation spectroscopy A novel tool for two-dimensional correlation spectroscopy 109 Deconvolution Lifetime resolved fluorescence detection in chromatography. Global analysis of emission decay surfaces 99 An introduction to tensor products with applications to multiway data analysis (Tutorial) 229 Discriminant analysis Efficiency of multi-layered feed-forward neural networks
Subject Index Volume 28
324
on classification in relation to linear discriminant analysis, quadratic discriminant analysis and regularized discriminant analysis 287 Display techniques/graphics Pattern recognition, reflections from a chemometric point of view 23 Evolution program Outlier detection in multivariate calibration 259 Experimental design Beyond response surfaces: recent developments in optimum experimental design 35 Efficiency of multi-layered feed-forward neural networks on classification in relation to linear discriminant analysis, quadratic discriminant analysis and regularized discriminant analysis 287 Expert systems Hypermedia - a new concept for information management (Tutorial) 213 Factor analysis An introduction to tensor products with applications to multiway data analysis (Tutorial) 229 Fault diagnosis Process analysis, monitoring and diagnosis, using multivariate projection methods (Tutorial) 3 Fourier transform Statistical study of peak overlapping in multicomponent chromatograms: importance of the retention pattern 239 Genetic algorithm Robust regression and outlier models using genetic algorithms Outlier detection in multivariate Hypermedia Hypermedia ment (Tutorial) Hypertext Hypermedia ment (Tutorial) Kohonen net Modelling
detection 73 calibration
for
non-linear
259
a new concept 213
for information
manage-
a new concept 213
for information
manage-
metabolic
energy
by neural
networks
61
Latent variables An introduction to tensor products with applications to multiway data analysis (Tutorial) 229 Least squares Beyond response surfaces: recent developments in optimum experimental design 35 Lifetime resolved fluorescence detection in chromatography. Global analysis of emission decay surfaces 99 A user-friendly spreadsheet program for calibration using weighted regression 193 Linear regression A user-friendly spreadsheet program for calibration using weighted regression 193
Medical decision making From data to information: how to define the context? 181 Mid-infrared spectroscopy A novel tool for two-dimensional correlation spectroscopy 109 Modelling Modelling metabolic energy by neural networks 61 The UNEQ, PLS and MLF neural network methods in the modelling and prediction of the colour of young red wines from the Denomination of Origin ‘Rioja’ 273 Multi-component analysis Lifetime resolved fluorescence detection in chromatography. Global analysis of emission decay surfaces 99 Diagnostics and selection for linearity and interaction in calibration with pure and multicomponent spectra 139 An introduction to tensor products with applications to multiway data analysis (Tutorial) 229 Statistical study of peak overlapping in multicomponent chromatograms: importance of the retention pattern 239 Multivariate analysis Process analysis, monitoring and diagnosis, using multivariate projection methods (Tutorial) 3 Pattern recognition, reflections from a chemometric point of view 23 Lifetime resolved fluorescence detection in chromatography. Global analysis of emission decay surfaces 99 A novel tool for two-dimensional correlation spectroscopy 109 Partial least squares regression as a multivariate tool for the interpretation of infrared spectra 129 Diagnostics and selection for linearity and interaction in calibration with pure and multicomponent spectra 139 An introduction to tensor products with applications to multiway data analysis (Tutorial) 229 Efficiency of multi-layered feed-forward neural networks on classification in relation to linear discriminant analysis, quadratic discriminant analysis and regularized discriminant analysis 287 Use of canonical correlation analysis for the evaluation of chromatographic retention data 305 Multivariate calibration Outlier detection in multivariate calibration 259 Near-infrared spectroscopy A novel tool for two-dimensional correlation spectroscopy 109 Neural computation The UNEQ, PLS and MLF neural network methods in the modelling and prediction of the colour of young red wines from the Denomination of Origin ‘Rioja’ 273 Neural networks Modelling metabolic energy by neural networks 61 Efficiency of multi-layered feed-forward neural networks on classification in relation to linear discriminant analysis, quadratic discriminant analysis and regularized discriminant analysis 287 Non-linearity Robustness analysis of radial base function and multilayered feed-forward neural network models 49
Subject Index Volume 28 Diagnostics and selection for linearity and interaction in calibration with pure and multicomponent spectra 139 Spectral curve fitting of infrared spectra obtained from semi-crystalline polyester yarns 149 Non-linear methods for multivariate statistical calibration and their use in palaeoecology: a comparison of inverse (k-nearest neighbours, partial least squares and weighted averaging partial least squares) and classical approaches 165 Non-linear regression Robust regression and outlier detection for non-linear models using genetic algorithms 73 Outlier detection Outlier detection
in multivariate
calibration
259
Partial least squares Process analysis, monitoring and diagnosis, using multivariate projection methods (Tutorial) 3 Partial least squares regression as a multivariate tool for the interpretation of infrared spectra 129 Diagnostics and selection for linearity and interaction in calibration with pure and multicomponent spectra 139 Non-linear methods for multivariate statistical calibration and their use in palaeoecology: a comparison of inverse (k-nearest neighbours, partial least squares and weighted averaging partial least squares) and classical approaches 165 The UNEQ, PLS and MLF neural network methods in the modelling and prediction of the colour of young red wines from the Denomination of Origin ‘Rioja’ 273 Pattern recognition Pattern recognition, reflections from a chemometric point of view 23 An introduction to tensor products with applications to multiway data analysis (Tutorial) 229 Probability theory Partial least squares regression as a multivariate tool for the interpretation of infrared spectra 129 Statistical study of peak overlapping in multicomponent chromatograms: importance of the retention pattern 239 Process monitoring Process analysis, monitoring and diagnosis, using multivariate projection methods (Tutorial) 3 Regression A standard scheme for calculating deviations and confidence intervals
numerically 89
standard
325
Diagnostics and selection for linearity and interaction in calibration with pure and multicomponent spectra 139 Reliability A standard scheme for calculating numerically standard deviations and confidence intervals 89 Response surface Beyond response surfaces: recent developments in optimum experimental design 35
Soft modelling Robustness analysis of radial base function and multilayered feed-forward neural network models 49 Software Hypermedia - a new concept for information management (Tutorial) 213 Spectral analysis Partial least squares regression as a multivariate tool for the interpretation of infrared spectra 129 Spectral curve fitting of infrared spectra obtained from semi-crystalline polyester yarns 149 Statistical study of peak overlapping in multicomponent chromatograms: importance of the retention pattern 239 Statistical process control Process analysis, monitoring and diagnosis, using multivariate projection methods (Tutorial) 3 Structure-activity relationships Non-linear methods for multivariate statistical calibration and their use in palaeoecology: a comparison of inverse (k-nearest neighbours, partial least squares and weighted averaging partial least squares) and classical approaches 165
Validation Robustness analysis of radial base function and multilayered feed-forward neural network models 49 A standard scheme for calculating numerically standard deviations and confidence intervals 89 A user-friendly spreadsheet program for calibration using weighted regression 193
Wines colour The UNEQ, PLS and MLF neural network methods in the modelling and prediction of the colour of young red wines from the Denomination of Origin ‘Rioja’ 273