Works matching IS 08869383 AND DT 2000 AND VI 14 AND IP 5/6
Results: 27
Modern tools for reaction monitoring: hard and soft modelling of 'non-ideal', on-line acquired spectra.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 737, doi. 10.1002/1099-128X(200009/12)14:5/6<737::AID-CEM610>3.0.CO;2-4
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Application of genetic algorithm-PLS for feature selection in spectral data sets.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 643, doi. 10.1002/1099-128X(200009/12)14:5/6<643::AID-CEM621>3.0.CO;2-E
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Optimization of a response variable y constrained by principal directions of variations in the observation X-matrix.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 699, doi. 10.1002/1099-128X(200009/12)14:5/6<699::AID-CEM643>3.0.CO;2-K
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Non-linear regression analysis: new approach to traditional implementations.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 667, doi. 10.1002/1099-128X(200009/12)14:5/6<667::AID-CEM614>3.0.CO;2-T
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Comparison of chemometric methods for classification of fungal extracts based on rapid fluorescence spectroscopy.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 765, doi. 10.1002/1099-128X(200009/12)14:5/6<765::AID-CEM625>3.0.CO;2-S
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Application of PLS multivariate calibration for the determination of the hydroxyl group content in calcined silica by DRIFTS.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 501, doi. 10.1002/1099-128X(200009/12)14:5/6<501::AID-CEM613>3.0.CO;2-M
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Dynamic system multivariate calibration with low-sampling-rate y data.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 617, doi. 10.1002/1099-128X(200009/12)14:5/6<617::AID-CEM618>3.0.CO;2-M
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Parsimonious multiscale classification models.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 529, doi. 10.1002/1099-128X(200009/12)14:5/6<529::AID-CEM629>3.0.CO;2-E
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Uncertainty in rate constants estimated from spectral data with baseline drift.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 483, doi. 10.1002/1099-128X(200009/12)14:5/6<483::AID-CEM620>3.0.CO;2-J
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Stable solutions of linear dynamic models.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 401, doi. 10.1002/1099-128X(200009/12)14:5/6<401::AID-CEM642>3.0.CO;2-P
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Drift correction for gas sensors using multivariate methods.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 711, doi. 10.1002/1099-128X(200009/12)14:5/6<711::AID-CEM607>3.0.CO;2-4
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Comparison between physicochemical and calculated molecular descriptors.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 629, doi. 10.1002/1099-128X(200009/12)14:5/6<629::AID-CEM606>3.0.CO;2-M
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Combined principal component preprocessing and n-tuple neural networks for improved classification.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 573, doi. 10.1002/1099-128X(200009/12)14:5/6<573::AID-CEM617>3.0.CO;2-Y
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New developments in acoustic chemometric prediction of particle size distribution-'the problem is the solution'.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 463, doi. 10.1002/1099-128X(200009/12)14:5/6<463::AID-CEM628>3.0.CO;2-Y
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Dithionite bleaching of thermomechanical pulp: factors having effects on bleaching efficiency.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 693, doi. 10.1002/1099-128X(200009/12)14:5/6<693::AID-CEM612>3.0.CO;2-7
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Use of multivariate methods and DOE to improve industrial-scale production quality of a cellulose derivative.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 657, doi. 10.1002/1099-128X(200009/12)14:5/6<657::AID-CEM623>3.0.CO;2-W
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Editorial.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 381, doi. 10.1002/1099-128X(200009/12)14:5/6<381::AID-CEM645>3.0.CO;2-B
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Wavelet-PLS regression models for both exploratory data analysis and process monitoring.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 383, doi. 10.1002/1099-128X(200009/12)14:5/6<383::AID-CEM616>3.0.CO;2-5
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Multivariate image regression (MIR): implementation of image PLSR-first forays.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 585, doi. 10.1002/1099-128X(200009/12)14:5/6<585::AID-CEM627>3.0.CO;2-Q
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Estimating reaction rate constants from a two-step reaction: a comparison between two-way and three-way methods.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 541, doi. 10.1002/1099-128X(200009/12)14:5/6<541::AID-CEM609>3.0.CO;2-1
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Confidence limits for contribution plots.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 725, doi. 10.1002/1099-128X(200009/12)14:5/6<725::AID-CEM611>3.0.CO;2-8
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Quantitative analysis of 16-17th century archaeological glass vessels using PLS regression of EPXMA and µ-XRF data.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 751, doi. 10.1002/1099-128X(200009/12)14:5/6<751::AID-CEM622>3.0.CO;2-D
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Power of experimental designs, estimated by Monte Carlo simulation.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 441, doi. 10.1002/1099-128X(200009/12)14:5/6<441::AID-CEM644>3.0.CO;2-F
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Modeling of dynamic systems using latent variable and subspace methods.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 423, doi. 10.1002/1099-128X(200009/12)14:5/6<423::AID-CEM615>3.0.CO;2-B
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Chemometrics for on-line spectroscopy applications-theory and practice.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 513, doi. 10.1002/1099-128X(200009/12)14:5/6<513::AID-CEM626>3.0.CO;2-5
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Using miniature diode array NIR spectrometers for analysing wood chips and bark samples in motion.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 561, doi. 10.1002/1099-128X(200009/12)14:5/6<561::AID-CEM608>3.0.CO;2-2
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On the selection of the training set in environmental QSAR analysis when compounds are clustered.
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- Journal of Chemometrics, 2000, v. 14, n. 5/6, p. 599, doi. 10.1002/1099-128X(200009/12)14:5/6<599::AID-CEM619>3.0.CO;2-8
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