Ultraviolet cutoff area and predictive ability of partial least squares regression method: A pharmaceutical case study-Reference-Cited by-同舟云学术

Ultraviolet cutoff area and predictive ability of partial least squares regression method: A pharmaceutical case study

Published:2020-04 Issue: Volume:231 Page:118116
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Naguib Ibrahim A.^ORCID,Abdallah Fatma F.

Publisher

Elsevier BV

Subject

Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference17 articles.

1. Linear support vector regression and partial least-squares for determination of dapoxetine hydrochloride and tadalafil in binary pharmaceutical mixtures;Anwar;J. AOAC Int.,2019

2. Improved predictions of nonlinear support vector regression and artificial neural network models via preprocessing of data with orthogonal projection to latent structures: a case study;Naguib;Bull. Fac. Pharm. Cairo Univ.,2017

3. Linear support vector regression and partial least squares chemometric models for determination of hydrochlorothiazide and benazepril hydrochloride in presence of related impurities: a comparative study;Naguib;Spectrochim. Acta A Mol. Biomol. Spectrosc.,2014

4. Least-squares regression and spectral residual augmented classical least-squares chemometric models for stability-indicating analysis of agomelatine and its degradation products: a comparative study;Naguib;J. AOAC Int.,2016

5. Simultaneous spectrophotometric determination of valsartan and hydrochlorothiazide by H-point standard addition method and partial least squares regression;Lakshmi;Acta Pharma.,2011

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