EventsMOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.
Event submissions
Published
with-doi10.3390/mol2net-06-06861 (registering DOI)
This submission belongs to the session 04. NICEXSM-06: North-Ibero-American Congress on Exp. and Simul. Methods, Valencia, Bilbao, Spain-Miami, USA, 2020 of the event MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.
Published date
12 Jun, 2020
Citation
Juan Luis González-Santander, Germán Martín, Gaussian method for smoothing experimental data, in Proceedings of MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed., 30 January 2020–30 January 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-06-06861
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Gaussian method for smoothing experimental data

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Juan Luis González-Santander 1
Germán Martín 2
1. Department of Mathematics, Universidad de Oviedo.
2. Universidad Católica de Valencia "san Vicente mártir"
Abstract
Keywords
Curve smoothening
non-parametric regression
experimental data filtering.
Manuscript
Template_Ajuste_Exp.pdf