- Editorial,
- K.H. Esbensen
|
381 |
- Original research articles
|
|
- Wavelet-PLS regression models for both exploratory
data analysis and process monitoring
- P. Teppola, P. Minkkinen
|
383 |
- Stable solutions of linear dynamic models
- A.Höskuldsson
|
401 |
- Modeling of dynamic systems using latent variable
and subspace methods
- R. Shi, J.F. MacGregor
|
423 |
- Power of experimental designs, estimated by Monte
Carlo simulation
- H. Martens, G.B. Dijksterhuis, D.V.Byrne
|
441 |
- New developments in acoustic chemometric prediction
of particle size distribution - the problem is the solution
- M. Halstensen, K. Esbensen
|
463 |
- Uncertainty in rate constants estimated from
spectral data with baseline drift
- E. Furusö , L.-G. Danielsson
|
483 |
- Application of PLS multivariate calibration for the
determination of the hydroxyl group content in calcined silica by DRIFTS
- M. Peussa, S. Härkönen, J. Puputti, L. Niinistö
|
501 |
- Chemometrics for on-line spectroscopy applications -
theory and practice
- C. E. Miller
|
513 |
- Parsimonious multiscale classification models
- B. K. Alsberg
|
529 |
- Estimating reaction rate constants from a two-step
reaction: a comparison between two-way and three-way methods
- S. Bijlsma, A.K. Smilde
|
541 |
- Using miniature diode array NIR spectrometers for
analysing wood chips and bark samples in motion
- L. Axrup, K. Markides, T. Nilsson
|
561 |
- Combined principal component preprocessing and
n-tuple neural networks for improved classification
- C. Linneberg, A. Höskuldsson
|
573 |
- Multivariate image regression (MIR): implementation
of image PLSR - first forays
- T. T. Lied, P. Geladi, K.H. Esbensen
|
585 |
- On the selection of the training set in
environmental QSAR analysis when compounds are clustered
- L. Eriksson, E. Johansson, M. Müller, S. Wold
|
599 |
- Dynamic system multivariate calibration with
low-sampling-rate y data
- R. Ergon, M. Halstensen
|
617 |
- Comparison between physicochemical and calculated
molecular descriptors
- P. M. Andersson, M. Sjöström, S. Wold, T.
Lundstedt
|
629 |
- Application of genetic algorithm-PLS for feature
selection in spectral data sets
- R. Leardi
|
643 |
- Use of multivariate methods and DOE to improve
industrial-scale production quality of a cellulose derivative
- Ä. Lindgren
|
657 |
- Non-linear regression analysis: new approach to
traditional implementations
- E. V. Bystritskaya, A. L. Pomerantsev, O. Ye.
Rodionova
|
667 |
- Dithionite bleaching of thermomechanical pulp:
factors having effects on bleaching efficiency
- P. Malkavaara, J.P. Isoaho, R.Alén, J. Soininen
|
693 |
- Optimization of a response variable y constrained by
principal directions of variations in the observation X-matrix
- K. Svinning, O. Ingeroyen, K. Dalsveen
|
699 |
- Drift correction for gas sensors using multivariate
methods
- T.Artursson, T. Eklöv, I. Lundström, P.
Märtensson, M. Sjöström, M. Holmberg
|
711 |
- Confidence limits for contribution plots
- A.K. Conlin, E.B. Martin, A.J. Morris
|
725 |
- Modern tools for reaction monitoring: hard and soft
modelling of non-ideal, on-line acquired spectra
- R. M. Dyson, M. Hazenkamp, K. Kaufmann, M. Maeder,
M. Studer, A. Zilian
|
737 |
- Comparison of chemometric methods for classification
of fungal extracts based on rapid fluorescence spectroscopy
- C. Wittrup
|
765 |
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