Robust multivariate diagnostics for PLSR and application on high dimensional spectrally overlapped drug systems-Reference-Cited by-同舟云学术

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Robust multivariate diagnostics for PLSR and application on high dimensional spectrally overlapped drug systems

Published:2019-02-10 Issue:6 Volume:89 Page:966-984
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Alin Aylin¹^ORCID,Agostinelli Claudio²^ORCID,Gergov Georgi³,Katsarov Plamen⁴^ORCID,Al-Degs Yahya⁵^ORCID

Affiliation:

1. Department of Statistics, Dokuz Eylul University, Izmir, Turkey

2. Department of Mathematics, University of Trento, Trento, Italy

3. Faculty of Pharmacy, Medical University, Sofia, Bulgaria

4. Department of Pharmaceutical Sciences, Faculty of Pharmacy, Medical University – Plovdiv, Plovdiv, Bulgaria

5. Department of Chemistry, Hashemite University, Az-Zarqa, Jordan

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2019.1576682

Reference41 articles.

1. Multivariate Calibration: A Powerful Tool in Pharmaceutical Analysis

2. Simultaneous spectrophotometric determination of paracetamol, ibuprofen and caffeine in pharmaceuticals by chemometric methods

3. A review of multivariate calibration methods applied to biomedical analysis

4. Wavelength selection by net analyte signals calculated with multivariate factor-based hybrid linear analysis (HLA). A theoretical and experimental comparison with partial least-squares (PLS)

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