Regression models based on new local strategies for near infrared spectroscopic data-Reference-Cited by-同舟云学术

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Regression models based on new local strategies for near infrared spectroscopic data

Published:2016-08 Issue: Volume:933 Page:50-58
ISSN:0003-2670
Container-title:Analytica Chimica Acta
language:en
Short-container-title:Analytica Chimica Acta

Author:

Allegrini F.,Fernández Pierna J.A.,Fragoso W.D.,Olivieri A.C.,Baeten V.,Dardenne P.

Funder

CONICET

ANPCyT

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Ciência sem Fronteiras

Publisher

Elsevier BV

Subject

Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Reference32 articles.

1. Near-infrared reflectance spectroscopy – principal components regression analyses of soil properties;Chang;Soil Sci. Soc. Am. J.,2001

2. Improving the prediction performance of a large tropical vis-NIR spectroscopic soil library from Brazil by clustering into smaller subsets or use of data mining calibration techniques;Araújo;Eur. J. Soil Sci.,2014

3. Optimization criteria in sample selection step of local regression for quantitative analysis of large soil NIRS database;Gogé;Chemom. Intell. Lab. Syst.,2012

4. Simultaneous determination of hydrocarbon renewable diesel, biodiesel and petroleum diesel contents in diesel fuel blends using near infrared (NIR) spectroscopy and chemometrics;Alves;Analyst,2013

5. Using near-infrared overtone regions to determine biodiesel content and adulteration of diesel/biodiesel blends with vegetable oils;de Vasconcelos;Anal. Chim. Acta,2012

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