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Статті в журналах з теми "Modèles paramétriques (statistique)"
Robette, Nicolas. "Trees and forest. Recursive partitioning as an alternative to parametric regression models in social sciences." Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique 156, no. 1 (October 2022): 7–56. http://dx.doi.org/10.1177/07591063221128325.
Повний текст джерелаDufour, Jean-Marie. "Logique et tests d’hypothèses." Articles 77, no. 2 (February 5, 2009): 171–90. http://dx.doi.org/10.7202/602348ar.
Повний текст джерелаFortin, Nicole M. "L’impact des règles de prêts hypothécaires sur l’offre de travail des femmes au Canada : évidence paramétrique et non paramétrique." L’économétrie du travail et des ressources humaines 73, no. 1-2-3 (February 9, 2009): 129–59. http://dx.doi.org/10.7202/602225ar.
Повний текст джерелаBroniatowski, Michel, and Gérard Kebabdjian. "Inflation et dynamique des prix — Un traitement non paramétrique des données françaises." Économie appliquée 39, no. 2 (1986): 337–68. http://dx.doi.org/10.3406/ecoap.1986.4076.
Повний текст джерелаBurel, Gilles, Khawla Ben Gaied, Ramla Ben Abdelkader, and Roland Gautier. "Aide à la détection de l’échange d’information entre étudiants dans les contrôles à distance." J3eA 22 (2023): 0001. http://dx.doi.org/10.1051/j3ea/20230001.
Повний текст джерелаBelzeaux, R. "Observance chez les patients souffrant de troubles bipolaires. Quels déterminants ?" European Psychiatry 28, S2 (November 2013): 45–46. http://dx.doi.org/10.1016/j.eurpsy.2013.09.117.
Повний текст джерелаTochon, Guillaume, Jean-Baptiste Féret, Silvia Valero, Roberta E. Martin, Raul Tupayachi, Jocelyn Chanussot, Philippe Salembier, and Gregory P. Asner. "Segmentation hyperspectrale de forêts tropicales par Arbres de Partition Binaires." Revue Française de Photogrammétrie et de Télédétection, no. 202 (April 16, 2014): 55–65. http://dx.doi.org/10.52638/rfpt.2013.51.
Повний текст джерелаDubranna, Jean, and Philippe Maron. "Développement d’un modèle paramétrique à partir d’outils statistiques et numériques, application à l’hydrodynamique de l’embouchure de l’Adour." La Houille Blanche, no. 3 (June 2008): 26–32. http://dx.doi.org/10.1051/lhb:2008023.
Повний текст джерелаBultez, Alain, and Fabienne Guerra. "Contrastes : Plaidoyer pour un bon vieux test de différences entre proportions." Recherche et Applications en Marketing (French Edition) 20, no. 2 (June 2005): 29–54. http://dx.doi.org/10.1177/076737010502000202.
Повний текст джерелаDurmaz, Hüsnüye, and Medat Mutlu. "An Investigation of the Effectiveness of 5th Grade Guided Inquiry-Based Activities in Terms of Skills and Perception." Alberta Journal of Educational Research 69, no. 3 (September 25, 2023): 406–29. http://dx.doi.org/10.55016/ojs/ajer.v69i3.76256.
Повний текст джерелаДисертації з теми "Modèles paramétriques (statistique)"
Liquet, Benoit. "Sélection de modèles semi-paramétriques." Bordeaux 2, 2002. http://www.theses.fr/2002BOR20958.
Повний текст джерелаTadj, Amel. "Sur les modèles non paramétriques conditionnels en statistique fonctionnelle." Toulouse 3, 2011. http://thesesups.ups-tlse.fr/1219/.
Повний текст джерелаIn this thesis, we consider the problem of the nonparametric estimation in the conditional models when the regressor takes its values in infinite dimension space. More precisely, we treated two cases when the response variable is real and functional. One establishes almost complete uniform convergence of nonparametric estimators for certain conditional models. Firstly, we consider a sequence of i. I. D. Observations. In this context, we build kernel estimators of the conditional cumulative distribution, the conditional density, the conditional hazard function and the conditional mode. We give the uniform consistency rate of these estimators. We illustrate our results by giving an application on simulated samples. Secondly, we generalize our results when the response variable is in a Banach space. We estimate the regression function. In this context, we treat both cases : i. I. D and dependent observations. In the last case, we consider that the observations are Béta-mixing and we establishes almost complete pointwise convergence. Our asymptotic results exploit the topological structure of functional space for the observations. Let us note that all the rates of convergence are based on an hypothesis of concentration of the measure of probability of the functional variable on the small balls and also on the Kolmogorov’s entropy which measures the number of the balls necessary to cover some set. Moreover, when the response variable is functional the rate of convergence contains a new term which depends on type of Banach space
Ngatchou, Wandji Joseph. "Etude de tests paramétriques et non-paramétriques asymptotiquement puissants pour les modèles autorégressifs bilinéaires." Paris 13, 1995. http://www.theses.fr/1995PA132009.
Повний текст джерелаBordes, Laurent. "Inférence statistique pour des modèles paramétriques et semi-paramétriques : modèles de l'exponentielle multiple, test du Chi-deux, modèles de vie accélérée." Bordeaux 1, 1996. http://www.theses.fr/1996BOR10649.
Повний текст джерелаBoissières, Henri-Pierre. "Modèles de représentation non paramétriques des fonctions de corrélation des champs stochastiques." Châtenay-Malabry, Ecole centrale de Paris, 1992. http://www.theses.fr/1992ECAP0256.
Повний текст джерелаNguyen, ThiMongNgoc. "Estimation récursive pour des modèles semi-paramétriques." Thesis, Bordeaux 1, 2010. http://www.theses.fr/2010BOR14107/document.
Повний текст джерелаEl, Waled Khalil. "Estimations paramétriques et non-paramétriques pour des modèles de diffusions périodiques." Thesis, Rennes 2, 2015. http://www.theses.fr/2015REN20042/document.
Повний текст джерелаIn this thesis, we consider a drift estimation problem of a certain class of stochastic periodic processes when the length of observation goes to infinity. Firstly, we deal with the linear periodic signal plus noise model dζt = f (t, θ)dt + σ(t)dWt, ;and we study the parametric estimation from a continuous and discrete observation of the process f_tg throughout the interval [0; T]. Using the maximum likelihood method we show the existence of an estimator θˆT which is consistent, asymptotically normal and asymptotically efficient in the sens minimax. When f(t; _) = _f(t), the expression of ^_T is explicit and we obtain the mean square convergence in the both continuous and discrete observation cases. In addition, we deduce the strong consistency in the case of continuous observation.Secondly, we consider the nonparametric estimation problem of the function f(_) for the next two periodic models of type signal plus noise and Ornstein-Uhlenbeckd_t = f(t)dt + _(t)dWt; d_t = f(t)_tdt + dWt:For the signal plus noise model, we build a kernel estimator, the convergence in mean square uniformly over [0; P] and almost sure convergence are established, as well as the asymptotic normality. For the Ornstein-Uhlenbeck model, we prove the convergence uniformly over [0; P] of the bias and the mean square convergence. Moreover, we study the speed of these convergences
Lehéricy, Luc. "Estimation adaptative pour les modèles de Markov cachés non paramétriques." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS550/document.
Повний текст джерелаDuring my PhD, I have been interested in theoretical properties of nonparametric hidden Markov models. Nonparametric models avoid the loss of performance coming from an inappropriate choice of parametrization, hence a recent interest in applications. In a first part, I have been interested in estimating the number of hidden states. I introduce two consistent estimators: the first one is based on a penalized least squares criterion, and the second one on a spectral method. Once the order is known, it is possible to estimate the other parameters. In a second part, I consider two adaptive estimators of the emission distributions. Adaptivity means that their rate of convergence adapts to the regularity of the target distribution. Contrary to existing methods, these estimators adapt to the regularity of each distribution instead of only the worst regularity. The third part is focussed on the misspecified setting, that is when the observations may not come from a hidden Markov model. I control of the prediction error of the maximum likelihood estimator when the true distribution satisfies general forgetting and mixing assumptions. Finally, I introduce a nonhomogeneous variant of hidden Markov models : hidden Markov models with trends, and show that the maximum likelihood estimators of such models is consistent
Laksaci, Ali. "Contribution aux modèles non paramétriques conditionnels pour variables explicatives fonctionnelles." Toulouse 3, 2005. http://www.theses.fr/2005TOU30158.
Повний текст джерелаIn this thesis, we study the problem of a nonparametric modelization when the data are curves. Indeed, we consider real random variable (named response variable) noted Y, and a functional variable (explanatory variable) noted X. The nonparametric model used to study the relation between X and Y is the conditional distribution function noted F which has a density f. Both F and f are supposed to belong to some suitable functional spaces. Firstly, we consider a sequence of i. I. D observations. In this context, we build kernel estimators of the conditional distribution function, the conditional density and its sucessive derivatives. We establish the almost complete convergence rate of these estimators. We use these results in order to study the conditional mode and the conditional quantiles and we give also the almost complete convergence rate of their estimators. Secondly , we suppose that the observations are strongly mixing and we focus on the estimate of the conditional mode. We quantify the asymptotic properties of this estimator, by giving the convergence rate. This result can be used to the prediction problem in functional time series. Our study highlights the phenomenon of concentration properties on small balls of the probability measure of the functional variable. More precisely, these ideas are used to give a statistical solution to curse of dimension and to generalize to infinite dimension many asymptotic results existing in the multivariate case. Moreover, by using recent results in the probability theory of small balls we can see that our results include many time continuous processes. .
Vimond, Myriam. "Inférence statistique par des transformées de Fourier pour des modèles de régression semi-paramétriques." Phd thesis, Université Paul Sabatier - Toulouse III, 2007. http://tel.archives-ouvertes.fr/tel-00185102.
Повний текст джерелаКниги з теми "Modèles paramétriques (statistique)"
Bulle, Thierry. Comparaison de populations: Tests non paramétriques et analyse de variance. Paris: Masson, 1990.
Знайти повний текст джерелаBaille, Alain. Méthodes et modèles en statistique non paramétrique: Exercices et compléments. Paris: Dunod, 1988.
Знайти повний текст джерелаТези доповідей конференцій з теми "Modèles paramétriques (statistique)"
Dubranna, Jean, and Philippe Maron. "Développement d’un modèle paramétrique à partir d’outils statistiques et numériques, application à l’hydrodynamique de l’embouchure de l’Adour." In Journées Nationales Génie Côtier - Génie Civil. Editions Paralia, 2006. http://dx.doi.org/10.5150/jngcgc.2006.005-d.
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