Çàêàç
Order |
Ãîä
Year |
Òîì
Vol |
Ñòð
Pp |
Àâòîðû/Authors |
Íàçâàíèå/Title |
|
1999 |
46 |
133–147 |
Rasmus Bro |
Exploratory study of sugar
production using fluorescence spectroscopy and multi-way analysis |
|
1999 |
46 |
181–196 |
M.K. Hartnett, G. Lightbody, G.W.
Irwin |
Identification of state
models using principal components analysis |
|
1999 |
46 |
197–206 |
D.J. Louwerse, A. A. Tates, A..K.
Smilde, G. L.M. Koot, H. Berndt |
PLS discriminant analysis
with contribution plots to determine differences between parallel batch reactors in the
process industry |
|
1999 |
47 |
107–125 |
A. Nijhuis, S. de Jong , B.G.M.
Vandeginste |
The application of multivariate
quality control in gas chromatography |
|
1999 |
48 |
167–180 |
A.J. Burnham , J.F. MacGregor,
R.Viveros |
Latent variable multivariate
regression modeling |
|
1999 |
49 |
41–48 |
A.L. Pomerantsev |
Confidence intervals for
nonlinear regression extrapolation |
|
2000 |
50 |
1–18 |
R. De Maesschalck, D. Jouan-Rimbaud,
D.L. Massart |
Tutorial. The Mahalanobis
distance |
|
2000 |
50 |
19–33 |
B.-V. Grande , R. Manne |
Use of convexity for finding pure
variables in two-way data from mixtures |
|
2000 |
50 |
35–46 |
R. Manne, B.-V. Grande |
Resolution of two-way data from
hyphenated chromatography by means of elementary matrix transformations |
|
2000 |
50 |
53–61 |
I. Marsi, L. Seres |
Determination of the Arrhenius
parameters of the decomposition of azoisopropane: investigation of possible systematic
errors via computer simulation |
|
2000 |
50 |
47–52 |
T. Fearn |
On orthogonal signal correction |
|
2000 |
50 |
75–82 |
M. Blanco , J. Coello, H. Iturriaga,
S.Maspoch, J. Pages |
NIR calibration in non-linear
systems: different PLS approaches and artificial neural networks |
|
2000 |
50 |
83–90 |
S. H. Chung, D. L. Ma, R.D. Braatz |
Optimal model-based experimental
design in batch crystallization |
|
2000 |
50 |
91–99 |
X. Shao , Z. Chen, X. Lin |
Resolution of multicomponent
overlapping chromatogram using an immune algorithm and genetic algorithm |
|
2000 |
50 |
107–114 |
Nicolaas (Klaas) M. Faber |
Exact presentation of
multivariate calibration model as univariate calibration graph |
|
2000 |
50 |
115–119 |
E. Forgacs, T. Cserhati |
Use of spectral mapping technique
for the comparison of polymer-coated HPLC supports |
|
2000 |
50 |
121–135 |
L. Balland, L. Estel, J.-M. Cosmao, N. Mouhab |
A genetic algorithm with decimal
coding for the estimation of kinetic and energetic parameters |
|
2000 |
50 |
199–210 |
C.M. Jaeckle, J.F. MacGregor |
Industrial applications of
product design through the inversion of latent variable models |
|
2000 |
51 |
95–114 |
J. A. Westerhuis, S. P. Gurden, A. K. Smilde |
Generalized contribution plots in
multivariate statistical process monitoring |
|
2000 |
52 |
23–32 |
N. Sbirrazzuoli, L. Vincent , S.
Vyazovkin |
Electronic solution to the
problem of a kinetic standard for DSC measurements |
|
2000 |
52 |
123–134 |
Nicolaas (Klaas) M. Faber |
Comparison of two recently
proposed expressions for partial least squares regression prediction error |
|
2000 |
53 |
1–19 |
F.F. Perez Pla, J.F. Bea Redon, R. Valero |
A new algorithm for the kinetic
data analysis |
|
2000 |
54 |
1–19 |
J. Huang, K.H. Esbensen |
Applications of Angle Measure
Technique AMT in image analysis Part I. A new methodology for in situ powder
characterization |
|
2000 |
54 |
35–52 |
R.Wehrens, H. Putter, L.M.C.
Buydens |
The bootstrap: a tutorial |
|
2000 |
54 |
123–141 |
A.de Juan, M. Maeder, M. Martynez, R. Tauler |
Combining hard- and
soft-modelling to solve kinetic problems |
|
2001 |
55 |
23–38 |
Agnar Hoskuldsson |
Variable and subset selection in
PLS regression |
|
2001 |
55 |
133–145 |
B.-H. Mevik, E. M. Frgestad, M.
R. Ellekjr, T. Naes |
Using raw material measurements
in robust process optimization |
|
2001 |
56 |
13–25 |
J.A. Westerhuis, S. de Jong, A.
Smilde |
Direct orthogonal signal
correction |
|
2001 |
57 |
37-56 |
J. Huang, K.H. Esbensen |
Applications of AMT (Angle
Measure Technique) in image analysis Part II.Prediction of powder functional properties
and mixing components using Multivariate AMT Regression MAR |
|
2001 |
57 |
121–132 |
M. Forina, S. Lanteri, S. Rosso |
Confidence intervals of the
prediction ability and performance scores of classifications methods |
|
2001 |
58 |
15–27 |
B.Walczak , D.L. Massart |
Tutorial Dealing with missing
data: Part I |
|
2001 |
.58 |
29–42 |
B.Walczak, D.L. Massart |
Tutorial Dealing with missing
data: Part II |
|
2001 |
.59 |
1–18 |
F. Vogt, M. Tacker |
Fast principal component analysis
of large data sets |
|
2001 |
.59 |
19–31 |
E. Bezemer, S. C. Rutan |
Multivariate curve resolution
with non-linear fitting of kinetic profiles |
|
2001 |
.59 |
121–136 |
S. P. Gurden, J.A. Westerhuis ,
R. Bro, A.K. Smilde |
A comparison of multiway
regression and scaling methods |
|
2002 |
.60 |
13– 23 |
Jerry Workman Jr. |
The state of multivariate
thinking for scientists in industry: 1980–2000 |
|
2002 |
.60 |
113– 125 |
Karen Kafadar, Max D. Morris |
Nonlinear smoothers in two
dimensions for environmental data |
|
2002 |
.60 |
197– 209 |
C. Spiegelman, J.Wikander, P.
O’Neal, G.L. Cote |
A simple method for linearizing
nonlinear spectra for calibration |
|
2002 |
.60 |
211– 224 |
Paul Geladi |
Some recent trends in the
calibration literature |
|
2002 |
.60 |
225– 237 |
Kevin J. Johnson, Robert E. Synovec |
Pattern recognition of jet fuels:
comprehensive GC GC with ANOVA-based feature selection and principal component analysis |
|
2002 |
.60 |
253– 264 |
P. Paatero, P. K.Hopke, X.-H.
Song, Z. Ramadan |
Understanding and controlling
rotations in factor analytic models |
|
2002 |
.60 |
127– 134 |
Karen Kafadar |
The influence of John Tukey’s
work in robust methods for chemometrics and environmetrics |
|
2002 |
.61 |
123– 132 |
Q. Guo, W.Wu, D.L. Massart, C.
Boucon, S. de Jong |
Feature selection in principal
component analysis of analytical data |
|
2002 |
.61 |
133– 149 |
Nicolaas (Klaas) M. Faber, Rasmus
Bro |
Standard error of prediction for
multiway PLS 1. Background and a simulation study |
|
2002 |
.61 |
151– 165 |
G.Baffi, E. Martin, J. Morris |
Prediction intervals for
non-linear projection to latent structures regression models |
|
2002 |
.62 |
25–35 |
J. Huang, D. Brennan, L. Sattler, J.
Alderman, B. Lane, C. O’Mathuna |
A comparison of calibration
methods based on calibration data size and robustness |
|
2002 |
.63 |
7– 14 |
E. Vigneau, E.M. Qannari, D. Bertrand |
A new method of regression on
latent variables. Application to spectral data |
|
2002 |
.63 |
27– 39 |
J.A. Ferna´ndez Pierna, F.Wahl, O.E. de Noord,
D.L Massart |
Methods for outlier detection in
prediction |
|
2002 |
.63 |
107–116 |
N. M. Faber, J. Ferre , R. Boque, J. H. Kalivas |
Second-order bilinear
calibration: the effects of vectorising the data matrices of the calibration set |
|
2002 |
.63 |
117– 128 |
David M. Borth, Michael S. Wilhelm |
Confidence limits for normal type
I censored regression |
|
2003 |
66 |
127-139 |
Alexey L. Pomerantsev |
Successive Bayesian estimation of
reaction rate constants from spectral data |