Zobrazeno 1 - 10
of 376
pro vyhledávání: '"Svante Wold"'
Publikováno v:
Journal of Chemometrics. 28:332-346
A personal view is given about the gradual development of projection methods-also called bilinear, latent variable, and more-and their use in chemometrics. We start with the principal components an ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f03665cfedca2f1f5a4ea07151cd5db1
https://doi.org/10.1002/cem.2581
https://doi.org/10.1002/cem.2581
Autor:
Barry K. Lavine, Steven D. Brown, Karl S. Booksh, Svante Wold, William S. Rayens, Peter D. Wentzell, L. Scott Ramos, Jon Nuwer, Gregory L. Glass, Amrita Malik, Anna de Juan, Roma Tauler, Philip K. Hopke, Liyuan Chen, Collin White, Matthew Allen, Ayuba Fasasi, Jonathan Palmer, John H. Kalivas, Joshua Ottaway, Joseph P. Smith, Jerome J. Workman, Jeffrey A. Cramer, Olayinka O. Oshokoya, Renee D. JiJi, Frank Vogt
Autor:
Svante Wold, Lennart Eriksson
Publikováno v:
Journal of Chemometrics. 24:779-789
We introduce a new measure for the importance of predictor variables, X, for the separation of two groups (classes) of observations. The measure is a Graphical Index of Separation (GIOS), and is, for each predictor, determined from the distribution o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca3f8cecbb21208949f8a11df6f8edb1
https://doi.org/10.1002/cem.1372
https://doi.org/10.1002/cem.1372
Publikováno v:
Journal of Chemometrics. 23:569-580
A hierarchical clustering approach based on a set of PLS models is presented. Called PLS-Trees (R), this approach is analogous to classification and regression trees (CART), but uses the scores of ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83de9b8d07dd3a0d385caad5e3d0d5bd
https://doi.org/10.1002/cem.1254
https://doi.org/10.1002/cem.1254
Publikováno v:
Journal of Chemometrics. 22:594-600
This report describes significance testing for PLS and OPLS® (orthogonal PLS) models. The testing is applicable to single-Y cases and is based on ANOVA of the cross-validated residuals (CV-ANOVA). Two variants of the CV-ANOVA are introduced. The fir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::805d1af47ee9fbb5cd835199fbf7b1f4
https://doi.org/10.1002/cem.1187
https://doi.org/10.1002/cem.1187
Publikováno v:
Journal of Chemometrics. 21:427-439
During the last two decades, a number of methods have been developed and evaluated for selecting the optimal number of components in a PLS model. In this paper, a new method is introduced that is b ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5a4654f8925c12ad6209c05e2786e9a
https://doi.org/10.1002/cem.1086
https://doi.org/10.1002/cem.1086
Autor:
Svante Wold
Publikováno v:
ACS Symposium Series ISBN: 9780841230989
40 Years of Chemometrics – From Bruce Kowalski to the Future
40 Years of Chemometrics – From Bruce Kowalski to the Future
This chapter describes the transformation of a young physical organic chemist (SW, 1964), from a believer in first principles models to a middle-aged chemometrician (SW, 1974) promoting empirical a ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3888182184bb0ad9fccddf88ed4c62c9
https://doi.org/10.1021/bk-2015-1199
https://doi.org/10.1021/bk-2015-1199
Autor:
Svante Wold
Publikováno v:
ACS Symposium Series ISBN: 9780841230989
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec9613ec44d934ec740580b2226e18a3
https://doi.org/10.1021/bk-2015-1199.ch001
https://doi.org/10.1021/bk-2015-1199.ch001
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 84:159-163
Checking that a process is doing what it is supposed to is of critical importance in manufacturing, economics, environmental monitoring, patient monitoring, and more. Given sufficient and adequate analytical and process measurements made during the h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b48e8a40721251cb1a56cf39cd1c7755
https://doi.org/10.1016/j.chemolab.2006.04.024
https://doi.org/10.1016/j.chemolab.2006.04.024
Publikováno v:
Journal of Chemometrics. 20:352-361
Spectral data (X) may contain (a) variation that is correlated to concentrations or properties (Y) of samples and (b) variation that is unrelated to the same Y. This paper outlines an approach by which both such sources of variation may be resolved.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07153b1b3fbb6761515b593211065d95
https://doi.org/10.1002/cem.1007
https://doi.org/10.1002/cem.1007