Open Access
Oil & Gas Science and Technology - Rev. IFP
Volume 55, Number 5, September-October 2000
Page(s) 533 - 541
Published online 01 October 2006
  • Kozinski, J.A. (1989) Characteristics of Soot Formation and Oxidation Regions in Turbulent-Diffusion Flames of Heavy Oils. Combust. Sci. and Tech., 65, 295-312. [CrossRef]
  • Lammel, G. and Novakon, T. (1995) Water Nucleation Properties of Carbon Black and Diesel Soot Particles. Atmospheric Environment, 29, 813-823. [CrossRef]
  • Decreto Ley 833/75 de 6 de Febrero (1975) BOE, April 22th, 1975, 96, 8611.
  • Audibert, F. and Bertrand, F. (1992) Modélisation de la combustion de fuels lourds prenant en compte la dispersion des asphaltènes. Oil & Gas Science and Technology, 47, 269-283. [EDP Sciences]
  • Kozinski, J.A. (1994) PACs Formation and Interaction in Semipractical Flames of Liquid Fuels. Combustion and Flame, 96, 249-260. [CrossRef]
  • Virto, D. (1993) La Naturaleza General de la Combustión de Combustibles Líquidos Atomizados. Jornada Tècnica “Combustió i control d’emissions”, Institut Català de L’Energia, Barcelona, September.
  • Leary, J.A.,Biemann, K.,Lafleur, A.L.,Kruzel, E.L.,Prado, G.P.,Longwell, J.P. and Peters, W.A. (1987) Chemical and Toxicological Characterization of Residential Oil Burner Emissions: I. Yields and Chemical Characterization of Extractables from Combustion of No. 2 Fuel Oil at Different Bacharach Smoke Numbers and Firing Cycles. Environmental Health Perspectives, 73, 223-234. [CrossRef] [PubMed]
  • Lee, S.W.,Preto, F. and Hayden, A.C.S. (1986) Determination of Fuel Aromatic Content and its Effect on Residential Oil Combustion. Preprints Papers Am. Chem. Soc., Div. Fuel Chem., 31, 3, 275-293.
  • Breiman, L. and Friedman, J.H. (1985) Estimating Optimal Transformations for Multiple Regression and Correlation. J. Am. Stat. Ass., 80, 580-619. [CrossRef] [MathSciNet]
  • Frank, I.E. (1990) Regressione non lineare, in Proggetto COMMETT per la Chemiometria, Vol. 2, Gargnano.
  • Frank, I.E. and Lanteri, S. (1988) ACE: A Non-Linear Regression Model. Chemometrics Intell. Lab. Syst., 3, 301-313. [CrossRef]
  • Cruciani, G.,Baroni, M.,Clementi, S.,Costantino, G.,Riganella, D. and Skagerberg, B. (1992) Predictive Ability of Regression Models. Part I. Standard Deviation of Prediction Errors (SDEP). J. Chemometrics, 6, 335-346. [CrossRef]
  • Mallet, Y.L., Coomans, D.H. and de Vel, O.Y. (1995) Robust and Non-Parametric Methods in Multiple Regressions of Environmental Data, in Chemometrics in Environmental Chemistry, Einax, J. (ed.), Springer, Berlin.
  • Goldenshluger, A. and Nemirovski, A. (1997) On Spatially Adaptive Estimation of Nonparametric Regression. Mathematical Methods of Statistics, 6, 135-170. [MathSciNet]
  • Massart, D.L., Vandeginste, B.G.M., Deming, S.N., Michotte, Y. and Kaufman, L. (1988) Chap. 2 in Chemometrics: A Text Book, Elsevier, Amsterdam.
  • Jackson, J.E. (1991) A User’s Guide to Principal Components, John Wiley & Sons, New York.
  • Martens, H. and Nœs, T. (1991) Multivariate Calibration, Wiley, New York.
  • Forina, M., Leardi, R., Armanino, C. and Lanteri, S. (1990) PARVUS 1.2. An Extendable Open Package of Programs for Data Explorative Analysis, Classification and Correlation Analysis, Elsevier, Amsterdam.
  • Forina, M.,Lanteri, S.,Boggia, R. and Bertrán, E. (1993) Double Cross Full Validation. Quím. Anal., 12, 128-135.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.