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Journal of Chemometrics is a peer-reviewed journal published by Wiley, covering Spectroscopy and Chemometric Analyses, Computational Drug Discovery Methods, Analytical Chemistry and Chromatography.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Journal of Chemometrics 12 (3): 45–58.
Formats any DOI in Journal of Chemometrics style. No sign-up. |
| Publishes research in | Spectroscopy and Chemometric Analyses Computational Drug Discovery Methods Analytical Chemistry and Chromatography Advanced Statistical Methods and Models Fault Detection and Control Systems |
| ISSN | 0886-9383 |
| Citation impact (2-yr) | 2.08 |
| h-index | 131 |
| i10-index | 1,305 |
| Total citations | 93,418 |
| Article processing charge | $4,530 |
| Top institutions publishing here | Umeå University |
| Journal website | onlinelibrary.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract Partial least squares (PLS) was not originally designed as a tool for statistical discrimination. In spite of this, applied scientists routinely use PLS for classification and there is substantial empirical evidence to suggest that it performs well in that role. The interesting question is: why can a procedure that is principally designed for overdetermined…
Abstract A generic preprocessing method for multivariate data, called orthogonal projections to latent structures (O‐PLS), is described. O‐PLS removes variation from X (descriptor variables) that is not correlated to Y (property variables, e.g. yield, cost or toxicity). In mathematical terms this is equivalent to removing systematic variation in X that is orthogonal to Y .…
Abstract In this paper we develop the mathematical and statistical structure of PLS regression. We show the PLS regression algorithm and how it can be interpreted in model building. The basic mathematical principles that lie behind two block PLS are depicted. We also show the statistical aspects of the PLS method when it is used…
Abstract This paper provides an overview and analysis of statistical process monitoring methods for fault detection, identification and reconstruction. Several fault detection indices in the literature are analyzed and unified. Fault reconstruction for both sensor and process faults is presented which extends the traditional missing value replacement method. Fault diagnosis methods that have appeared recently…
Abstract The characteristics of the OPLS method have been investigated for the purpose of discriminant analysis (OPLS‐DA). We demonstrate how class‐orthogonal variation can be exploited to augment classification performance in cases where the individual classes exhibit divergence in within‐class variation, in analogy with soft independent modelling of class analogy (SIMCA) classification. The prediction results will…
