Academic literature on the topic 'Non normalité'
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Journal articles on the topic "Non normalité"
Nuss, Philippe. "Extensions galoisiennes non commutatives :normalité cohomologie non abélienne." Communications in Algebra 28, no. 7 (January 2000): 3223–51. http://dx.doi.org/10.1080/00927870008827021.
Full textDemanze, Olivier. "Sous-normalité jointe non bornée et applications." Studia Mathematica 171, no. 3 (2005): 227–37. http://dx.doi.org/10.4064/sm171-3-2.
Full textRodriguez-Poo, Juan, Stefan Sperlich, and Philippe Vieu. "Normalité asymptotique d'estimateurs de maximum de vraisemblance pour modèles non-paramétriques de régression multidimensionnelle." Comptes Rendus de l'Académie des Sciences - Series I - Mathematics 333, no. 1 (July 2001): 61–64. http://dx.doi.org/10.1016/s0764-4442(01)02010-9.
Full textBourgeault1, Guy. "L’intervention sociale comme entreprise de normalisation et de moralisation." Nouvelles pratiques sociales 16, no. 2 (January 18, 2005): 92–105. http://dx.doi.org/10.7202/009845ar.
Full textBarlier, A., C. Roche, A. Enjalbert, B. Conte-Devolx, and P. Niccoli-Sire. "P075 - La normalité du gène RET permet-elle d’affirmer le caractère non familial du carcinome médullaire ?" Annales d'Endocrinologie 66, no. 5 (October 2005): 434. http://dx.doi.org/10.1016/s0003-4266(05)81916-x.
Full textBuetti, David, Lilian Negura, and Marie-Hélène Gervais. "L’INTERVENTION SOCIALE AUPRÈS DES HOMMES GAIS." Canadian Social Work Review 34, no. 1 (August 29, 2017): 101–22. http://dx.doi.org/10.7202/1040997ar.
Full textRail, Geneviève, and Mélisse Lafrance. "Émancipation ou colonisation ?" Articles 17, no. 1 (October 29, 2004): 173–201. http://dx.doi.org/10.7202/009300ar.
Full textRENAUD, Marc, and Chantal SAINT-JACQUES. "Le droit de refus, cinq ans après : l’évolution d’un nouveau mode d’expression des risques." Sociologie et sociétés 18, no. 2 (September 30, 2002): 99–112. http://dx.doi.org/10.7202/001627ar.
Full textBenjoudi, H., and P. Hubert. "À propos de la distribution statistique des cumuls pluviométriques annuels. Faut-il en finir avec la normalité?" Revue des sciences de l'eau 11, no. 4 (April 12, 2005): 617–30. http://dx.doi.org/10.7202/705324ar.
Full textDufour, Jean-Marie, Abdeljelil Farhat, and Lynda Khalaf. "Tests multiples simulés et tests de normalité basés sur plusieurs moments dans les modèles de régression*." Articles 80, no. 2-3 (October 24, 2005): 501–22. http://dx.doi.org/10.7202/011397ar.
Full textDissertations / Theses on the topic "Non normalité"
Desmoulins-Lebeault, François. "Non-normalité des taux de rentabilité des actifs financiers et gestion de portefeuille." Paris 9, 2004. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=2004PA090052.
Full textFinancial assets returns being randomly distributed, we study the properties of their distribution and assess the impact it has on portfolio management. First, we study precisely the distributional properties of stock returns, and then we extend this analysis by studying the sampling properties of the estimators of semi-moments. Using these semi-moments, we develop and study a test of normality very well adapted to financial analysis. We use this test to evaluate the speed of convergence of the distribution of returns to normality as the horizon increases. After that, we evaluate the impact non-normality has on the empirical performances of the CAPM, with the help of semi-comoments among other tools. Eventually, we review the different existing methods used to extend the CAPM to non Gaussian settings, and introduce a portfolio selection methodology relying on the distances between distributions. To this end, we use Gram-Charlier expansions to model the distribution of the returns on a portfolio, conditionally to the weights of the stocks composing this portfolio
Hafsa, Houda. "Modèles d'évaluation et d'allocations des actifs financiers dans le cadre de non normalité des rendements : essais sur le marché français." Thesis, Aix-Marseille, 2012. http://www.theses.fr/2012AIXM1015.
Full textThis dissertation is part of an ongoing researches looking for an adequate model that apprehend the behavior of financial asset returns. Through this research, we propose to analyze the relevance of risk measures that take into account the non-normality in the asset pricing and portfolio allocation models on the French market. This dissertation is comprised of three articles. The first one proposes to revisit the asset pricing model taking into account the higher-order moments in a downside framework. The results indicate that the downside higher order co-moments are relevant in explaining the cross sectional variations of returns. The second paper examines the relation between expected returns and the VaR or CVaR. A cross sectional analysis provides evidence that VaR is superior measure of risk when compared to the CVaR. We find also that the normal estimation approach gives better results than the approach based on the expansion of Cornish-Fisher (1937). Both results contradict the theoretical predictions but we proved that they are inherent to the French market. In the third paper, we review the mean-CVaR model in a dynamic framework and we take into account the transaction costs. The results indicate that the asset allocation model that takes into account the non-normality can improve the performance of the portfolio comparing to the mean-variance model, in terms of the average return and the return-to CVaR ratio. Through these three studies, we think that it is possible to modify the risk management framework to apprehend in a better way the risk of loss associated to the non-normality problem
Cleon, Louis-Marie. "Stabilité linéaire et non linéaire des schémas de Boltzmann sur réseau simulant des écoulements visqueux compressibles." Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066183/document.
Full textThe stability study of differential systems derived from the Navier- Stokes equations consists in analysing the response of the planar linearized system from a disturbance on a flat wave. It cannot account for all possible mechanisms of nonlinear instability. Such non-linear stability analyses were discussed for finite difference of the scalar non-viscous Burger equation. They are based on the analysis in resonant waves, considering a set of waves that form a closed group for the discretized equation. An important conclusion of this work is that some unstable nonlinear mechanisms exist that are beyond the linear analysis, as the focusing mechanism studied and explained using the methods of side band, introduced to initiate instabilities. This approach of resonant waves is extended to non-linear stability analysis for LBM (Lattice Boltzmann Method) methods. We report for the first time a vector equation instead of the scalar Burgers equation, because the LBM method considers a distribution function by discrete speeds. The principle of resonant waves to lattice Boltzmann equations for one-dimensional flow in a compressible and isothermal D1Q3 scheme gives instability maps, in the case of one or more resonant modes , highly dependent upon the initial conditions. The phenomenon of focus has not been obtained in the LBM formulation. Transient growth due to non-normality of operators may exist. They are calculated by a Lagrangian optimization method combined with LBM equations. The principle of resonant waves is extended to a 2D model. We show that the instabilities become dominant
Dubuc, Camus Sylvie. "Etude des propriétés de dégénérescence et de normalité des fonctions booléennes et construction de fonctions q-aires parfaitement non linéaires." Caen, 2001. http://www.theses.fr/2001CAEN2011.
Full textLacombe, Jean-Pierre. "Analyse statistique de processus de poisson non homogènes. Traitement statistique d'un multidétecteur de particules." Phd thesis, Grenoble 1, 1985. http://tel.archives-ouvertes.fr/tel-00318875.
Full textBenelmadani, Djihad. "Contribution à la régression non paramétrique avec un processus erreur d'autocovariance générale et application en pharmacocinétique." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAM034/document.
Full textIn this thesis, we consider the fixed design regression model with repeated measurements, where the errors form a process with general autocovariance function, i.e. a second order process (stationary or nonstationary), with a non-differentiable covariance function along the diagonal. We are interested, among other problems, in the nonparametric estimation of the regression function of this model.We first consider the well-known kernel regression estimator proposed by Gasser and Müller. We study its asymptotic performance when the number of experimental units and the number of observations tend to infinity. For a regular sequence of designs, we improve the higher rates of convergence of the variance and the bias. We also prove the asymptotic normality of this estimator in the case of correlated errors.Second, we propose a new kernel estimator of the regression function based on a projection property. This estimator is constructed through the autocovariance function of the errors, and a specific function belonging to the Reproducing Kernel Hilbert Space (RKHS) associated to the autocovariance function. We study its asymptotic performance using the RKHS properties. These properties allow to obtain the optimal convergence rate of the variance. We also prove its asymptotic normality. We show that this new estimator has a smaller asymptotic variance then the one of Gasser and Müller. A simulation study is conducted to confirm this theoretical result.Third, we propose a new kernel estimator for the regression function. This estimator is constructed through the trapezoidal numerical approximation of the kernel regression estimator based on continuous observations. We study its asymptotic performance, and we prove its asymptotic normality. Moreover, this estimator allow to obtain the asymptotic optimal sampling design for the estimation of the regression function. We run a simulation study to test the performance of the proposed estimator in a finite sample set, where we see its good performance, in terms of Integrated Mean Squared Error (IMSE). In addition, we show the reduction of the IMSE using the optimal sampling design instead of the uniform design in a finite sample set.Finally, we consider an application of the regression function estimation in pharmacokinetics problems. We propose to use the nonparametric kernel methods, for the concentration-time curve estimation, instead of the classical parametric ones. We prove its good performance via simulation study and real data analysis. We also investigate the problem of estimating the Area Under the concentration Curve (AUC), where we introduce a new kernel estimator, obtained by the integration of the regression function estimator. We prove, using a simulation study, that the proposed estimators outperform the classical one in terms of Mean Squared Error. The crucial problem of finding the optimal sampling design for the AUC estimation is investigated using the Generalized Simulating Annealing algorithm
Degras, David. "Contribution à l'étude de la régression non paramétrique et à l'estimation de la moyenne d'un processus à temps continu." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2007. http://tel.archives-ouvertes.fr/tel-00201438.
Full textLévy-Leduc, Céline. "Estimation semi-paramétrique de la période de fonctions périodiques inconnues dans divers modèles statistiques : théorie et applications." Paris 11, 2004. http://www.theses.fr/2004PA112146.
Full textThis thesis is devoted to semiparametric period estimation of unknown periodic functions in various statistical models as well as the construction of nonparametric tests to detect a periodic signal in the midst of noise. In chapter 1, we propose asymptotically optimal estimators of the period of an unknown periodic function and of the periods of two periodic functions from their sum corrupted by Gaussian white noise. In chapter 2, we propose a practical implementation of the period estimation method based on the ideas developed in the first chapter that we test on simulated laser vlbrometry signals. This algorithm is used in chapter 3 on real musical data. In chapter 4, we propose an estimator of the period when the observations are those of a particular almost periodic function corrupted by Gaussian white noise as well as a practical implementation of the method. This algorithm has also been tested on laser vibrometry data. In chapter 5, we propose a test in order to detect periodic functions in the midst of noise when the period of the function and the variance of noise are unknown. It is proved to be adaptive in the minimax sense and has been tested on laser vibrometry data
Khalil, Nathalie. "Conditions d'optimalité pour des problèmes en contrôle optimal et applications." Thesis, Brest, 2017. http://www.theses.fr/2017BRES0095/document.
Full textThe project of this thesis is twofold. The first concerns the extension of previous results on necessary optimality conditions for state constrained problems in optimal control and in calculus of variations. The second aim consists in working along two new research lines: derive viability results for a class of control systems with state constraints in which ‘standard inward pointing conditions’ are violated; and establish necessary optimality conditions for average cost minimization problems possibly perturbed by unknown parameters.In the first part, we examine necessary optimality conditions which play an important role in finding candidates to be optimal solutions among all admissible solutions. However, in dynamic optimization problems with state constraints, some pathological situations might arise. For instance, it might occur that the multiplier associated with the objective function (to minimize) vanishes. In this case, the objective function to minimize does not intervene in first order necessary conditions: this is referred to as the abnormal case. A worse phenomenon, called the degenerate case shows that in some circumstances the set of admissible trajectories coincides with the set of candidates to be minimizers. Therefore the necessary conditions give no information on the possible minimizers.To overcome these difficulties, new additional hypotheses have to be imposed, known as constraint qualifications. We investigate these two issues (normality and non-degeneracy) for optimal control problems involving state constraints and dynamics expressed as a differential inclusion, when the minimizer has its left end-point in a region where the state constraint set in nonsmooth. We prove that under an additional information involving mainly the Clarke tangent cone, necessary conditions in the form of the Extended Euler-Lagrange condition are derived in the normal and non-degenerate form for two different classes of state constrained optimal control problems. Application of the normality result is shown also for the calculus of variations problem subject to a state constraint.In the second part of the thesis, we consider first a class of state constrained control systems for which standard ‘first order’ constraint qualifications are not satisfied, but a higher (second) order constraint qualification is satisfied. We propose a new construction for feasible trajectories (a viability result) and we investigate examples (such as the Brockett nonholonomic integrator) providing in addition a non-linear stimate result. The other topic of the second part of the thesis concerns the study of a class of optimal control problems in which uncertainties appear in the data in terms of unknown parameters. Taking into consideration an average cost criterion, a crucial issue is clearly to be able to characterize optimal controls independently of the unknown parameter action: this allows to find a sort of ‘best compromise’ among all the possible realizations of the control system as the parameter varies. For this type of problems, we derive necessary optimality conditions in the form of Maximum Principle (possibly nonsmooth)
Ferrani, Yacine. "Sur l'estimation non paramétrique de la densité et du mode dans les modèles de données incomplètes et associées." Thesis, Littoral, 2014. http://www.theses.fr/2014DUNK0370/document.
Full textThis thesis deals with the study of asymptotic properties of e kernel (Parzen-Rosenblatt) density estimate under associated and censored model. In this setting, we first recall with details the existing results, studied in both i.i.d. and strong mixing condition (α-mixing) cases. Under mild standard conditions, it is established that the strong uniform almost sure convergence rate, is optimal. In the part dedicated to the results of this thesis, two main and original stated results are presented : the first result concerns the strong uniform consistency rate of the studied estimator under association hypothesis. The main tool having permitted to achieve the optimal speed, is the adaptation of the Theorem due to Doukhan and Neumann (2007), in studying the term of fluctuations (random part) of the gap between the considered estimator and the studied parameter (density). As an application, the almost sure convergence of the kernel mode estimator is established. The stated results have been accepted for publication in Communications in Statistics-Theory & Methods ; The second result establishes the asymptotic normality of the estimator studied under the same model and then, constitute an extension to the censored case, the result stated by Roussas (2000). This result is submitted for publication
Books on the topic "Non normalité"
Some Empirical Evidence on the Non-Normality of Cost Variances on Defense Contracts. Storming Media, 1996.
Find full textMd Yusof, Zahayu, Sharipah Soaad Syed Yahaya, and Suhaida Abdullah. Testing on performance using robust methods. UUM Press, 2014. http://dx.doi.org/10.32890/9789670474717.
Full textCross, William E. Disjunctive: Social Injustice, Black Identity, and the Normality of Black People. Edited by Phillip L. Hammack. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199938735.013.36.
Full textHitchcock, Christopher. Actual Causation. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198746911.003.0007.
Full textParis, Joel. Overdiagnosis in Psychiatry. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780197504277.001.0001.
Full textShafer-Landau, Russ, ed. Oxford Studies in Metaethics 12. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198805076.001.0001.
Full textWalsh, Richard A. “It Has to Be Functional!”. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190607555.003.0026.
Full textStone, Dan. Editor's Introduction. Edited by Dan Stone. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199560981.013.0001.
Full textCanvin, Krysia. Patient experiences and perceptions of coercion: universal meaning, individual experiences? Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198788065.003.0009.
Full textCicchetti, Dante. An Overview of Developmental Psychopathology. Edited by Philip David Zelazo. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199958474.013.0018.
Full textBook chapters on the topic "Non normalité"
Gilchrist, W. G. "Capability and non-normality." In Total Quality Management, 395–98. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0539-2_67.
Full textDe Concini, Corrado. "Normality and Non Normality Of Certain Semigroups and Orbit Closures." In Encyclopaedia of Mathematical Sciences, 15–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05652-3_3.
Full textKotz, Samuel, and Norman L. Johnson. "Process capability indices under non-normality: robustness properties." In Process Capability Indices, 135–77. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-4465-8_4.
Full textCossu, C., L. Brandt, J. H. M. Fransson, and A. Talamelli. "Using Non-Normality for Passive Laminar Flow Control." In Progress in Industrial Mathematics at ECMI 2006, 139–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-71992-2_9.
Full textMason, David M., and Galen R. Shorack. "Non-Normality of a Class of Random Variables." In Sums, Trimmed Sums and Extremes, 393–416. Boston, MA: Birkhäuser Boston, 1991. http://dx.doi.org/10.1007/978-1-4684-6793-2_14.
Full textYang, Wei H. "Dual Non-Euclidean Norms and Normality Theorem in Plasticity." In Anisotropy and Localization of Plastic Deformation, 369–73. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3644-0_86.
Full textArdonceau, Pascal, and Dominique Aymer de la Chevalerie. "Non Normality of the Görtler Operator and Spatial Amplification?" In Laminar-Turbulent Transition, 517–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-03997-7_79.
Full textGómez-Villegas, Miguel A., Eusebio Gómez-Sánchez-Manzano, Paloma Maín, and Hilario Navarro. "The Effect of Non-normality in the Power Exponential Distributions." In Understanding Complex Systems, 119–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20853-9_9.
Full textRyan, Thomas P., and Belinda J. Faddy. "The Effect of Non-Normality on the Performance of CUSUM Procedures." In Frontiers in Statistical Quality Control 6, 176–93. Heidelberg: Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-642-57590-7_11.
Full textKhujadze, George, Martin Oberlack, and George Chagelishvili. "Stochastically Forced Laminar Plane Couette Flow: Non-normality and Hydrodynamic Fluctuations." In Springer Proceedings in Physics, 151–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02225-8_36.
Full textConference papers on the topic "Non normalité"
Mariappan, Sathesh, R. Sujith, and Peter Schmid. "Non-normality of thermoacoustic interactions: an experimental investigation." In 47th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-5555.
Full textAbdella Zidan Amhemad. "Effect of non normality on statistical control charts." In 2010 International Conference on Networking and Information Technology (ICNIT 2010). IEEE, 2010. http://dx.doi.org/10.1109/icnit.2010.5508459.
Full textBalasubramanian, Koushik, and Raman Sujith. "Thermoacoustic Instability in a Rijke Tube: Non-Normality and Nonlinearity." In 13th AIAA/CEAS Aeroacoustics Conference (28th AIAA Aeroacoustics Conference). Reston, Virigina: American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-3428.
Full textBalasubramanian, Koushik, and Raman Sujith. "Non-Normality and Nonlinearity in Combustion-Acoustic Interaction in Diffusion Flames." In 45th AIAA Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-567.
Full textSubramanian, Priya, and Raman Sujith. "Non-Normality and Internal Flame Dynamics in Premixed Flame-Acoustic Interaction." In 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-1153.
Full textMariappan, Sathesh, and Raman Sujith. "Thermoacoustic Instability in Solid Rocket Motor: Non-Normality and Nonlinear Instabilities." In 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-1517.
Full textNoorossana, R., A. Vaghefi, and M. Dorri. "The effect of non-normality on performance of linear profile monitoring." In 2008 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2008. http://dx.doi.org/10.1109/ieem.2008.4737871.
Full textOllila, Esa, and Visa Koivunen. "Adjusting the generalized likelihood ratio test of circularity robust to non-normality." In 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2009. http://dx.doi.org/10.1109/spawc.2009.5161847.
Full textBaggio, Giacomo, and Sandro Zampieri. "On the Relation Between Non-normality and Diameter in Linear Dynamical Networks." In 2018 17th European Control Conference (ECC). IEEE, 2018. http://dx.doi.org/10.23919/ecc.2018.8550551.
Full textTsembelis, Konstantinos, Seyun Eom, Nicholas Christodoulou, Mahesh Pandey, and John Jin. "A Case Study on the Normality of Monte-Carlo Simulation Results." In ASME 2016 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/pvp2016-63622.
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