Journal of chemometrics

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  Año 2000, Vol. 14, Número 5

  • Wavelet-PLS regression models for both exploratory data analysis and process monitoring

    P. Minkkinen, P. Teppola

    págs. 383-400

    

  • Stable solutions of linear dynamic models

    A. Hoskuldsson

    págs. 401-422

    

  • Modeling of dynamic systems using latent variable and subspace methods

    J. F. MacGregor, R. Shi

    págs. 423-440

    

  • Power of experimental designs, estimated by Monte Carlo simulation

    H. Martens, G. B. Dijksterhuis

    págs. 441-462

    

  • New developments in acoustic chemometric prediction of particle size distribution-`the problem is the solution'

    M. Halstensen

    págs. 463-482

    

  • Uncertainty in rate constants estimated from spectral data with baseline drift

    L.-G. Danielsson, E. Furusjo

    págs. 483-500

    

  • Application of PLS multivariate calibration for the determination of the hydroxyl group content in calcined silica by DRIFTS

    S. Harkonen, M. Peussa

    págs. 501-512

    

  • Chemometrics for on-line spectroscopy applications-theory and practice

    C. E. Miller

    págs. 513-528

    

  • Parsimonious multiscale classification models

    B. K. Alsberg

    págs. 529-540

    

  • Estimating reaction rate constants from a two-step reaction: a comparison between two-way and three-way methods

    S. Bijlsma, Age K Smilde

    págs. 541-560

    

  • Using miniature diode array NIR spectrometers for analysing wood chips and bark samples in motion

    L. Axrup, K. Markides

    págs. 561-572

    

  • Combined principal component preprocessing and n-tuple neural networks for improved classification

    C. Linneberg, A. Hoskuldsson

    págs. 573-584

    

  • Multivariate image regression (MIR): implementation of image PLSR-first forays

    T. T. Lied, P. Geladi, K. H. Esbensen

    págs. 585-598

    

  • On the selection of the training set in environmental QSAR analysis when compounds are clustered

    E. Johansson, Leif A. Eriksson

    págs. 599-616

    

  • Dynamic system multivariate calibration with low-sampling-rate y data

    M. Halstensen, R. Ergon

    págs. 617-628

    

  • Comparison between physicochemical and calculated molecular descriptors

    P. M. Andersson

    págs. 629-642

    

  • Application of genetic algorithm-PLS for feature selection in spectral data sets

    Riccardo Leardi

    págs. 643-656

    

  • Use of multivariate methods and DOE to improve industrial-scale production quality of a cellulose derivative

    A. Lindgren

    págs. 657-666

    

  • Non-linear regression analysis: new approach to traditional implementations

    A. L. Pomerantsev, E. V. Bystritskaya

    págs. 667-692

    

  • Dithionite bleaching of thermomechanical pulp: factors having effects on bleaching efficiency

    J. P. Isoaho, P. Malkavaara

    págs. 693-698

    

  • Optimisation of a response variable y constrained by principal directions of variations in the observation X-matrix

    K. Dalsveen, K. Svinning, O. Ingeryen

    págs. 699-710

    

  • Drift correction for gas sensors using multivariate methods

    T. Artursson

    págs. 711-724

    

  • Confidence limits for contribution plots

    A. K. Conlin, A.J. Morris, E. B. Martin

    págs. 725-736

    

  • Modern tools for reaction monitoring: hard and soft modelling of `non-ideal', on-line acquired spectra

    M. Hazenkamp, R. M. Dyson

    págs. 737-750

    

  • Quantitative analysis of 16-17th century archaeological glass vessels using PLS regression of EPXMA and mu-XRF data

    P. Lemberge, I. De Raedt, K. H. Janssens

    págs. 751-764

    

  • Comparison of chemometric methods for classification of fungal extracts based on rapid fluorescence spectroscopy

    C. Wittrup

    págs. 765-776