Statistical Significance Testing as a Guide to Partial Least-Squares (PLS) Modeling of Nonideal Data Sets for Fuel Property Predictions
- Author
- KRAMER, Kirsten E1 ; MORRIS, Robert E1 ; ROSE-PEHRSSON, Susan L1 ; CRAMER, Jeffrey1 ; JOHNSON, Kevin J1
[1] Naval Research Laboratory, Code 6181, Washington, D.C. 20375-5320, United States - Source
Energy & fuels. 2008, Vol 22, Num 1, pp 523-534, 12 p ; ref : 28 ref
- Publisher
- American Chemical Society, Washington, DC
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Carburéacteur Chromatographie phase gazeuse Erreur calcul Modélisation Moindre carré partiel Méthode Monte Carlo Spectrométrie IR proche Spectrométrie Raman
- Keyword (en)
- Jet fuel Gas chromatography Computation error Modeling Partial least squares Monte Carlo method Near infrared spectrometry Raman spectrometry
- Keyword (es)
- Carburante motor chorro Cromatografía fase gaseosa Error cálculo Modelización Minimos cuadrados parciales Método Monte Carlo Espectrometría IR próximo Espectrometría Raman
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06B Fuels / 001D06B02 Crude oil, natural gas and petroleum products / 001D06B02E Petroleum products, gas and fuels. Motor fuels, lubricants and asphalts
- Discipline
- Energy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20002776
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1021/ef700403s 
https://dx.doi.org/10.1021/ef700403s
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