Academic literature on the topic 'Méthode des moindres carrés'
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Journal articles on the topic "Méthode des moindres carrés"
Sambou, S. "Comparaison par simulation de Monte-Carlo des propriétés de deux estimateurs du paramètre d'échelle de la loi exponentielle : méthode du maximum de vraisemblance (MV) et méthode des moindres carrés (MC)." Revue des sciences de l'eau 17, no. 1 (April 12, 2005): 23–47. http://dx.doi.org/10.7202/705521ar.
Full textChabert, Jean-Luc. "Gauss et la méthode des moindres carrés." Revue d'histoire des sciences 42, no. 1 (1989): 5–26. http://dx.doi.org/10.3406/rhs.1989.4132.
Full textFaucher, D., P. F. Rasmussen, and B. Bobée. "Estimation non paramétrique des quantiles de crue par la méthode des noyaux." Revue des sciences de l'eau 15, no. 2 (April 12, 2005): 515–41. http://dx.doi.org/10.7202/705467ar.
Full textPetitjean, Michel. "Calcul de chiralité quantitative par la méthode des moindres carrés." Comptes Rendus de l'Académie des Sciences - Series IIC - Chemistry 2, no. 1 (January 1999): 25–28. http://dx.doi.org/10.1016/s1387-1609(99)80034-6.
Full textTouma, Georges. "Étude didactique sur la modélisation algébrique des phénomènes physiques." Articles 45, no. 1 (November 16, 2010): 151–72. http://dx.doi.org/10.7202/1000035ar.
Full textYao Koffi, Simplice, and Sandrine Aïda Koissy-Kpein. "Extension agricole dans la zone marginale de production cotonnière en Côte d’Ivoire." Articles 90, no. 3 (January 21, 2016): 191–221. http://dx.doi.org/10.7202/1034737ar.
Full textDesdevises, Yves. "Introduction générale aux méthodes comparatives phylogénétiques." Biosystema N° 31, no. 1 (July 3, 2018): 23–42. https://doi.org/10.3917/biosy.031.0023.
Full textLegendre, Lucas J. "Introduction pratique aux modèles linéaires phylogénétiques." Biosystema N° 31, no. 1 (July 3, 2018): 43–58. https://doi.org/10.3917/biosy.031.0043.
Full textNKWENKA NYANDA, Patrick geoffroy. "Investissements Directs Étrangers et environnement en Afrique Subsaharienne." Journal of Academic Finance 10, no. 2 (December 30, 2019): 69–83. http://dx.doi.org/10.59051/joaf.v10i2.331.
Full textBALEMBA, Lionel. "Déterminants du chômage des jeunes en République démocratique du Congo : une analyse Empirique de 2001-2020." Journal of Academic Finance 14, no. 1 (June 30, 2023): 99–111. http://dx.doi.org/10.59051/joaf.v14i1.553.
Full textDissertations / Theses on the topic "Méthode des moindres carrés"
Mir, Youness. "Approximation par la méthode des moindres carrés." Mémoire, Université de Sherbrooke, 2007. http://savoirs.usherbrooke.ca/handle/11143/4753.
Full textRiabi, Mohamed Lahdi. "Contribution à l'étude des structures planaires microondes par la méthode des moindres carrés." Toulouse, INPT, 1992. http://www.theses.fr/1992INPT103H.
Full textBenzina, Hafed. "Application de la méthode des moindres carrés à l'analyse de structures planaires non rayonnantes." Toulouse, INPT, 1990. http://www.theses.fr/1990INPT055H.
Full textSmolders, André. "Etude d'algorithmes de détection de ruptures de modelés et de prédiction adaptative : application à un problème de poursuite de mobiles manoeuvrants." Nice, 1986. http://www.theses.fr/1986NICE4010.
Full textVarin, Élisabeth. "Résolution de l'équation de transport neutronique par une méthode de moindres carrés en trois dimensions." Châtenay-Malabry, Ecole centrale de Paris, 2001. http://www.theses.fr/2001ECAP0717.
Full textThe transport equation describes the neutron density in space and time, along velocity directions. In three dimensions, classical deterministic methods of resolution have each their limitations for certain physical media like in diffusive region or for void material. The different approaches are combined to obtain the solution in every media. The work presented in this thesis show the implementation in three dimensions of a least square method applied to the scaled transport equation. This method originally developed by K. J. Ressel can be applied directly to all materials types. The study in diffusive regimes harmonics expansion PN and a finite element discretisation in space lead to the writing of a system of linear equations, forming a symmetric matrix. The discretisation error is obtained and bounded. The system matrix property allows the use of robust numerical methods like the conjugate gradient method. Boundary conditions are taken care of by a low order approach. They are developed for PN expansion in 3D and for complex arithmetic. Three dimensional discrete equations are obtained for hexaedral and tetraedral elements. The complete implementation of the method is explained to develop the code ARTEMIS. In this code, the expansion order PN can be changed depending on the region allowing to decrease the total number of unknowns. Simple tests show the correct implementation of the approach. Multigroup anisotropic extensions are also validated in three dimensions. Results for one of the Takeda benchmarks of OECD, used as a realistic reference case, are presented
Trigeassou, Jean-Claude. "Contribution à l'extension de la méthode des moments en automatique : application à l'identification des systèmes linéaires." Poitiers, 1987. http://www.theses.fr/1987POIT2005.
Full textMeziane-El, May Hédia. "Extension de la régression classique à des problèmes typologiques et présentation de la "méthode des tranches de densité" : une approche basée sur la percolation." Aix-Marseille 3, 1991. http://www.theses.fr/1991AIX32000.
Full textWe are about to tackle hereafter the problem of generalizing the regression concept for the purpose of taking into account the data's structural aspects. The resolutions of this matter of fact are mostly overlooked although taking them into consideration would allow a better understanding of a great number of phenomenons and would lead to the establishment of more adequate models. In addition ot the outliers, some other fundamental factors may undermine as well the quality of the models. These factors are structural in nature. Therefore our objctive is to show that from the same set of data, it is possible to search automatically one or even several resulting models. We propose, within this thesis, a method of resoulution that should be both simple and efficient: "the method of density slices", which aim is to find underlying "multimodels" when one is handling heterogeneous data. This method treis to synthesize regression and classification techniques. The non-hierarchical classification of data must be guided by the "percolation principle" and has to be realized simultaneously with the computation of the regression hyperplans. The percolation principle which aims to find the strong density points, has to be applied to slices of points and no longer to individual points. The basis of this method are discussed herewith, an algorithm and some results are presented as well
Basmaji, Riad. "Etude des réseaux géodésiques réguliers : matrice de covariance des réseaux réguliers finis de type nivellement : application de la méthode de la transformée de Fourier à l'analyse : application de la méthode de la transformée de Fourier à l'analyse des réseaux réguliers infinis à une et deux variables." Observatoire de Paris, 1989. https://tel.archives-ouvertes.fr/tel-01958574.
Full textThouzé, Arsène. "Méthode numérique d'estimation du mouvement des masses molles." Thèse, Poitiers, 2013. http://hdl.handle.net/1866/10763.
Full textBiomechanical analysis of human movement using optoelectronic system and skin markers considers body segments as rigid bodies. However the soft tissue motion relative to the bone, including muscles, fat mass, results in relative displacement of markers. This displacement is the results of two components, an own component which corresponds to a random motion of each marker and an in-unison component corresponding to the common movement of skin markers resulting from the movement of the underlying wobbling mass. While most studies aim to minimize these displacements, computer simulation models have shown that the movement of the soft tissue motion relative to the bones reduces the joint kinetics. This observation is only available using computer simulations because there are no methods able to distinguish the kinematics of wobbling mass of the bones kinematics. The main objective of this thesis is to develop a numerical method able to distinguish this different kinematics. The first aim of this thesis was to assess a local optimisation method for estimating the soft tissue motion using intra-cortical pins screwed into the humerus in three subjects. The results show that local optimisation underestimates of 50% the marker displacements. Also it leads to a different marker ranking in terms of displacement. The limit of local optimisation comes from the fact that it does not consider all the components of the soft tissue motion, especially the in-unison component. The second aim of this thesis was to develop a numerical method that accounts for all the component of the soft tissue motion. More specifically, this method should provide similar kinematics and estimate large marker displacement and distinguish the two components to conventional approaches. The lower limb is modeled using a 10 degree of freedom chain model reconstructed using global optimisation and the markers placed only on the pelvis and the medial face of the shank. The original estimate of joint kinematics without considering the markers placed on the thigh and on the calf avoids the influences of these markers displacement on the kinematic model reconstruction. This method was tested on 13 subjects who performed hopping trials and obtained up to 2.1 times of marker displacement depending the method considered ensuring similar joint-kinematics. A vector approach shown that marker displacements is more induce by the in-unison component. A matrix approach combining the local optimisation and the kinematic model shown that the wobbling mass moves around the longitudinal axis and along the antero-posterior axis of the bone. The originality of this thesis is to numerically distinguish the bone kinematics from the wobbling mass kinematics and the two components of the soft tissue motion. The methods developed in this thesis increases the knowledge on soft tissue motion and allow future studies to consider their movement in joint kinetics calculation.
Pujol, Serge. "Contribution à l'étude de circuits planaires micro-ondes par une méthode intégrale en utilisant différents types de fonctions d'essai." Toulouse, INPT, 1992. http://www.theses.fr/1992INPT070H.
Full textBooks on the topic "Méthode des moindres carrés"
1938-, Hanson Richard J., ed. Solving least squares problems. Philadelphia: SIAM, 1995.
Find full textGrawe, Nathan D. A la recherche des contraintes intergénérationnelles d'emprunt chez les hommes canadiens: Tests de régression par quantile et de régression des moindres carrés pour les contraintes impératives d'emprunt. Ottawa, Ont: Direction des études analytiques, Statistique Canada, 2001.
Find full text1944-, Hilbe Joseph M., ed. Quasi-least squares regression. Boca Raton: CRC Press, Taylor & Francis Group, 2014.
Find full textJ, Miller Alan. Subset selection in regression. London [England]: Chapman and Hall, 1990.
Find full textManuel Théorique et Pratique de l'application de la Méthode des Moindres Carrés Au Calcul des Observations. Creative Media Partners, LLC, 2023.
Find full textSayed, Ali H., Thomas Kailath, and Babak Hassibi. Linear Estimation. Prentice Hall, 2000.
Find full textSayed, Ali H., Thomas Kailath, and Babak Hassibi. Linear Estimation. Prentice Hall, 2000.
Find full textHilbe, Joseph M., and Justine Shults. Quasi-Least Squares Regression. Taylor & Francis Group, 2014.
Find full textHilbe, Joseph M., and Justine Shults. Quasi-Least Squares Regression. Taylor & Francis Group, 2014.
Find full textBook chapters on the topic "Méthode des moindres carrés"
Aragon, Yves. "Régression linéaire par la méthode des moindres carrés." In Pratique R, 39–56. Paris: Springer Paris, 2011. http://dx.doi.org/10.1007/978-2-8178-0208-4_3.
Full textCornillon, Pierre-André, and Eric Matzner-Løber. "Moindres carrés généralisés." In Régression avec R, 157–68. Paris: Springer Paris, 2011. http://dx.doi.org/10.1007/978-2-8178-0184-1_7.
Full text"George Udny Yule et la méthode des moindres carrés." In Les statistiques en images, 128–29. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-2085-6-076.
Full text"George Udny Yule et la méthode des moindres carrés." In Les statistiques en images, 128–29. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-2085-6.c076.
Full text"La courbe de Gauss et la méthode des moindres carrés." In Les statistiques en images, 54. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-2085-6-035.
Full text"Chapitre 3 Régression linéaire par la méthode des moindres carrés." In Séries temporelles avec R, 39–58. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-1994-2-006.
Full text"La courbe de Gauss et la méthode des moindres carrés." In Les statistiques en images, 54. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-2085-6.c035.
Full text"Chapitre 3 Régression linéaire par la méthode des moindres carrés." In Séries temporelles avec R, 39–58. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-1994-2.c006.
Full text"Chapitre 8 Régularisation des moindres carrés : ridge, lasso, elastic-net." In Régression avec R, 191–216. EDP Sciences, 2023. http://dx.doi.org/10.1051/978-2-7598-3146-3.c010.
Full text"21. Principes généraux de la restitution d’orbite GPS par moindres carrés." In Le temps dans la géolocalisation par satellites, 313–64. EDP Sciences, 2020. http://dx.doi.org/10.1051/978-2-7598-2468-7.c023.
Full textReports on the topic "Méthode des moindres carrés"
Méthode de quatre carrés pour une intervention dans les systèmes semenciers des racines, tubercules et bananes. International Potato Center, August 2024. http://dx.doi.org/10.4160/cip.2024.08.012.
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