Prise en compte d'effets de cinétique chimique dans les flammes de diffusion turbulentes par l'approche fonction densité de probabilité = The probability density function approach applied to the representation of chemical kinetics effects in turbulent diffusion flamesVervisch, Luc; Vandromme, Dany.1991, 227 p.Thesis

SIMULATING MAINTENANCE WORK IN AN ENGINEERING FIRM: A CASE STUDY.BASKER BA; MANAN A; HUSBAND TM et al.1977; MICROELECTRON. AND RELIABIL.; G.B.; DA. 1977; VOL. 16; NO 5; PP. 571-581; BIBL. 6 REF.Article

The Metropolis-Hastings algorithm, a handy tool for the practice of environmental model estimation : illustration with biochemical oxigen demand dataTORRE, F; BOREUX, J.-J; PARENT, E et al.Cybergeo. 2001, Num 187, pp 1-2, issn 1278-3366Article

Contribution à l'étude du mode SQS : développement d'un prototype de chambre à localisation ; mécanisme de propagation du streamerFlorent, Jean-Jacques; Langevin, Hélène.1989, 282 p.Thesis

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Contribution à la modélisation des échanges radiatifs entre un champ d'émetteurs infrarouges et un corps en déplacement = Contribution to the modeling of transfer between an array of infrared and a moving bodyHarmand Berdai, Souad; Tournier, Claude.1990, 179 p.Thesis

UTILISATION DE LA METHODE DE MONTE CARLO LORS DE LA MODELISATION ECONOMIQUE ET MATHEMATIQUE DE LA GESTION OPERATIONNELLE DE LA PRODUCTIONKONOVALOV SA; CHUBENKO PI; KONOVALOV LA et al.1975; TRUDY URAL. POLITEKH. INST. S.M. KIROVA; S.S.S.R.; DA. 1975; NO 225; PP. 28-30Article

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An empirical comparison of edge effect correction methods applied to K-function analysisYAMADA, I; ROGERSON, P.A.Geographical analysis. 2003, Vol 35, Num 2, pp 97-109, issn 0016-7363, 13 p.Article

Robustness of spatial autocorrelation specifications : some Monte Carlo evidenceDUBIN, R.Journal of regional science. 2003, Vol 43, Num 2, pp 221-248, issn 0022-4146, 28 p.Article

A spatial Cliff-Ord-type model with heteroskedastic innovations : small and large sample resultsARRAIZ, I; DRUKKER, D.M; KELEJIAN, H.H et al.Journal of regional science. 2010, Vol 50, Num 2, pp 592-614, issn 0022-4146, 23 p.Article

Specification of spatial models : a simulation study on weights matricesSTAKHOVYCH, S; BIJMOLT, T.H.A.Papers in regional science (Print). 2009, Vol 88, Num 2, pp 389-408, issn 1056-8190, 20 p.Article

Statističeskoe modelirovanie dinamiki vodosnežnyh potokovBOŽINSKIJ, A.N; NAZAROV, A.N; SAPUNOV, V.N et al.Vestnik Moskovskogo universiteta. Seriâ filosofiâ. 2002, Num 5, pp 39-43, issn 0201-7385, 5 p.Article

Using CFD in a GLUE framework to model the flow and dispersion characteristics of a natural fluvial dead zoneHANKIN, B.G; HARDY, R; KETTLE, H et al.Earth surface processes and landforms. 2001, Vol 26, Num 6, pp 667-687, issn 0197-9337Article

Modelirovanie dinamiki selevyh potokov metodom Monte-KarloBOŽINSKIJ, A.N.Vestnik Moskovskogo universiteta. Seriâ filosofiâ. 2003, Num 5, pp 28-31, issn 0201-7385, 4 p.Article

Agrometeorologičeskie aspekty optimizacii ispol'zovaniâ zemel'nyh resursovSIROTENKO, O.D; PAVLOVA, V.N.Meteorologiâ i gidrologiâ. 2001, Num 12, pp 84-95, issn 0130-2906, 12 p.Article

Spurious spatial regression : some Monte Carlo results with a spatial unit root and spatial cointegrationFINGLETON, B.Journal of regional science. 1999, Vol 39, Num 1, pp 1-19, issn 0022-4146Article

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Méthodes de micro-simulation pour des projections de populationVAN IMHOFF, E; POST, W.Population (Ed. française). 1997, Vol 52, Num 4, pp 889-932, issn 0032-4663Article

Modelling the errors in areal interpolation between zonal systems by Monte Carlo simulationFISHER, P.F; LANGFORD, M.Environment & planning A (Print). 1995, Vol 27, Num 2, pp 211-224, issn 0308-518XArticle

The size-adjusted critical region of Moran's I test statistics for spatial autocorrelation and its application to geographical areasTERUI, N; KIKUCHI, M.Geographical analysis. 1994, Vol 26, Num 3, pp 213-227, issn 0016-7363Article

Likelihood dominance spatial inferencePACE, R.K; LESAGE, J.P.Geographical analysis. 2003, Vol 35, Num 2, pp 133-147, issn 0016-7363, 15 p.Article

Binary outcomes and endogenous explanatory variables: tests and solutions with an application to the demand for contraceptive use in TunisiaBOLLEN, K.A; GUILKEY, D.K; MROZ, T.A et al.Demography. 1995, Vol 32, Num 1, pp 111-131, issn 0070-3370Article

Méthodes quasi-Monte-Carlo multidimensionnellesFAURE, H.Theoretical computer science. 1994, Vol 123, Num 1, pp 131-137, issn 0304-3975Conference Paper

Increasing the efficiency of pooled estimation with a block-diagonal covariance structureGUNTHER, J. W; SCHMIDT, R. H.The Annals of regional science. 1993, Vol 27, Num 2, pp 133-142, issn 0570-1864Article