Academic literature on the topic 'Médiane de moyennes'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Médiane de moyennes.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Médiane de moyennes":
Bultez, 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.
Langbour, Patrick, Sébastien Paradis, and Bernard Thibaut. "Description of the Cirad wood collection in Montpellier, France, representing eight thousand identified species." BOIS & FORETS DES TROPIQUES 339 (April 17, 2019): 7. http://dx.doi.org/10.19182/bft2019.339.a31709.
Vuille, Michel, and P. Beaud. "Média et société demain : lutte pour la gestion du symbolique." Médias communautaires ou médias libres, no. 6 (February 1, 2016): 129–31. http://dx.doi.org/10.7202/1034975ar.
Vacher, E., M. Evans, H. Seridi, S. Lamy, and L. Jehel. "Étude descriptive des comorbidités somatiques et psychiatriques dans une population hospitalisée en psychiatrie en Martinique. Étude préliminaire." European Psychiatry 28, S2 (November 2013): 52. http://dx.doi.org/10.1016/j.eurpsy.2013.09.136.
Galéa, G., and S. Canali. "Régionalisation des modules annuels et des régimes d'étiage du bassin hydrographique de la Moselle française : lien entre modèles régionaux." Revue des sciences de l'eau 18, no. 3 (April 12, 2005): 331–52. http://dx.doi.org/10.7202/705562ar.
Prévost, Clément, and Bernard Lauriol. "Variabilité de l’érosion actuelle et holocène : le cas des marbres de Grenville en Outaouais québécois." Géographie physique et Quaternaire 48, no. 3 (November 23, 2007): 297–304. http://dx.doi.org/10.7202/033010ar.
Lubis, Nuriaty Prasetya, Junita Friska, and Zulherman Zulherman. "Développement De La Méthode De Français Basé Sur Google Classroom En Classe XI Au SMA Negeri 21 Medan." HEXAGONE Jurnal Pendidikan, Linguistik, Budaya dan Sastra Perancis 10, no. 2 (December 29, 2021): 34. http://dx.doi.org/10.24114/hxg.v10i2.30299.
Coutu, Janick, Dominique Meilleur, and Denis Lafortune. "La délinquance et la victimisation officielle caractérisant une cohorte de 1429 adolescents auteurs d’agression sexuelle." Revue de psychoéducation 44, no. 2 (March 29, 2017): 405–24. http://dx.doi.org/10.7202/1039261ar.
Rosbjerc, D., J. Corréa, and P. F. Rasmussen. "Justification des formules de probabilité empirique basées sur la médiane de la statistique d'ordre." Revue des sciences de l'eau 5, no. 4 (April 12, 2005): 529–40. http://dx.doi.org/10.7202/705145ar.
Bouare, Y., I. Guindo, S. Dao, II Yattara, and F. Bougoudogo. "Diagnostic de la primo-infection à VIH dans les centres de santé du District de Bamako, Mali." Revue Malienne d'Infectiologie et de Microbiologie 15, no. 1 (May 14, 2020): 27–33. http://dx.doi.org/10.53597/remim.v15i1.1563.
Dissertations / Theses on the topic "Médiane de moyennes":
Mathieu, Timothée. "M-estimation and Median of Means applied to statistical learning Robust classification via MOM minimization MONK – outlier-robust mean embedding estimation by median-of-means Excess risk bounds in robust empirical risk minimization." Thesis, université Paris-Saclay, 2021. http://www.theses.fr/2021UPASM002.
The main objective of this thesis is to study methods for robust statistical learning. Traditionally, in statistics we use models or simplifying assumptions that allow us to represent the real world. However, some deviations from the hypotheses can strongly disrupt the statistical analysis of a database. By robust statistics, we mean methods that can handle on the one hand so-called abnormal data (sensor error, human error) but also data of a highly variable nature. We apply robust techniques to statistical learning, giving theoretical efficiency results of the proposed methods as well as illustrations on simulated and real data
Genetay, Edouard. "Quelques problématiques autour du clustering : robustesse, grande dimension et détection d'intrusion." Thesis, Rennes, École Nationale de la Statistique et de l'Analyse de l'Information, 2022. http://www.theses.fr/2022NSAIM001.
Clustering aims at grouping observed data into different subsets sharing similar properties. Most often this clustering is done through the optimization of a criterion chosen in advance. In this CIFRE thesis, we have studied clustering under three different aspects.In a first part, we propose a robust estimation method of K centroids based on the so-called "K-means" criterion. We also propose a robust initialization method for the procedure. On the one hand, the robustness of the proposed procedures has been tested by numerous numerical simulations. On the other hand, we have shown a theorem giving the rate of convergence of an idealized estimator in the presence of outliers and a theorem giving the breakdown point of the method.In a second part, we place ourselves in the framework of a balanced mixture of two isotropic Gaussians, centered at the origin, in order to provide the first theoretical analysis of a clustering estimator based on a conditional entropy criterion. We show that the criterion is locally convex, offering on the one hand fast learning rates and on the other hand an oracle inequality in high dimension when the mean separation vector is sparse.In a third part, more practical and devoted to graphs in cybersecurity, we investigate whether the evolution of the number of clusters obtained by a modularity optimization method can reveal anomalies caused by an intrusion in a computer system
Depersin, Jules. "Statistical and Computational Complexities of Robust and High-Dimensional Estimation Problems." Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAG009.
Statistical learning theory aims at providing a better understanding of the statistical properties of learning algorithms. These properties are often derived assuming the underlying data are gathered by sampling independent and identically distributed gaussian (or subgaussian) random variables. These properties can thus be drastically affected by the presence of gross errors (also called "outliers") in the data, and by data being heavy-tailed. We are interested in procedures that have good properties even when part of the data is corrupted and heavy-tailed, procedures that we call extit{robusts}, that we often get in this thesis by using the Median-Of-Mean heuristic.We are especially interested in procedures that are robust in high-dimensional set-ups, and we study (i) how dimensionality affects the statistical properties of robust procedures, and (ii) how dimensionality affects the computational complexity of the associated algorithms. In the study of the statistical properties (i), we find that for a large range of problems, the statistical complexity of the problems and its "robustness" can be in a sense "decoupled", leading to bounds where the dimension-dependent term is added to the term that depends on the corruption, rather than multiplied by it. We propose ways of measuring the statistical complexities of some problems in that corrupted framework, using for instance VC-dimension. We also provide lower bounds for some of those problems.In the study of computational complexity of the associated algorithm (ii), we show that in two special cases, namely robust mean-estimation with respect to the euclidean norm and robust regression, one can relax the associated optimization problems that becomes exponentially hard with the dimension to get tractable algorithm that behaves polynomially in the dimension
Laforgue, Pierre. "Deep kernel representation learning for complex data and reliability issues." Thesis, Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAT006.
The first part of this thesis aims at exploring deep kernel architectures for complex data. One of the known keys to the success of deep learning algorithms is the ability of neural networks to extract meaningful internal representations. However, the theoretical understanding of why these compositional architectures are so successful remains limited, and deep approaches are almost restricted to vectorial data. On the other hand, kernel methods provide with functional spaces whose geometry are well studied and understood. Their complexity can be easily controlled, by the choice of kernel or penalization. In addition, vector-valued kernel methods can be used to predict kernelized data. It then allows to make predictions in complex structured spaces, as soon as a kernel can be defined on it.The deep kernel architecture we propose consists in replacing the basic neural mappings functions from vector-valued Reproducing Kernel Hilbert Spaces (vv-RKHSs). Although very different at first glance, the two functional spaces are actually very similar, and differ only by the order in which linear/nonlinear functions are applied. Apart from gaining understanding and theoretical control on layers, considering kernel mappings allows for dealing with structured data, both in input and output, broadening the applicability scope of networks. We finally expose works that ensure a finite dimensional parametrization of the model, opening the door to efficient optimization procedures for a wide range of losses.The second part of this thesis investigates alternatives to the sample mean as substitutes to the expectation in the Empirical Risk Minimization (ERM) paradigm. Indeed, ERM implicitly assumes that the empirical mean is a good estimate of the expectation. However, in many practical use cases (e.g. heavy-tailed distribution, presence of outliers, biased training data), this is not the case.The Median-of-Means (MoM) is a robust mean estimator constructed as follows: the original dataset is split into disjoint blocks, empirical means on each block are computed, and the median of these means is finally returned. We propose two extensions of MoM, both to randomized blocks and/or U-statistics, with provable guarantees. By construction, MoM-like estimators exhibit interesting robustness properties. This is further exploited by the design of robust learning strategies. The (randomized) MoM minimizers are shown to be robust to outliers, while MoM tournament procedure are extended to the pairwise setting.We close this thesis by proposing an ERM procedure tailored to the sample bias issue. If training data comes from several biased samples, computing blindly the empirical mean yields a biased estimate of the risk. Alternatively, from the knowledge of the biasing functions, it is possible to reweight observations so as to build an unbiased estimate of the test distribution. We have then derived non-asymptotic guarantees for the minimizers of the debiased risk estimate thus created. The soundness of the approach is also empirically endorsed
Sahaly, Ridha. "Effet de la consigne sur les indices mécaniques et électromyographiques de la contraction musculaire isométrique." Paris 6, 2004. http://www.theses.fr/2004PA066294.
Elastal, Abdelaziz. "Evolution des moyens de lutte palestinienne à travers la presse." Paris 2, 1986. http://www.theses.fr/1986PA020044.
Mahmoudi, Sabah. "Les Grands moyens d'information et les femmes rurales tunisiennes." Lille 3 : ANRT, 1988. http://catalogue.bnf.fr/ark:/12148/cb37615513h.
Yang, Le. "Médianes de mesures de probabilité dans les variétés riemanniennes et applications à la détection de cibles radar." Phd thesis, Université de Poitiers, 2011. http://tel.archives-ouvertes.fr/tel-00664188.
Carayre, Guillaume. "Les relations juridiques entre les territoires décentralisés et les moyens de communications immatérielles." Toulouse 1, 2007. http://www.theses.fr/2007TOU10034.
Kamkar, Caroline. "Les limites de la faute : essai sur la détermination de l'obligation de moyens en matière médicale." Lyon 3, 2006. https://scd-resnum.univ-lyon3.fr/out/theses/2006_out_kamkar_c.pdf.
Following the medical contract, an error is evaluated according to the professional obligations, which has been determined and widened by jurisprudence. However, once this principle defined, a practical difficulty still remains in the application of the law on the medical responsibility. The error must be identified considering that its limits very often reveal the mistake. The doctor commits many more mistakes than errors and the law should take that into consideration. Theoretically, we should question ourselves first on when can we talk about an error on the doctor's part and whether any error implies the doctor's responsibility. Thus, it becomes a matter of identifying the error as not being a mistake in medical practice, particularly because the remedy and the responsibility should be distinguished. And not only because they have completely different roots, they belong to two different logical systems but also because the making of the law has to tightly go hand in hand with the reality of the medical field
Books on the topic "Médiane de moyennes":
Muster, Dominique. Thérapeutique médicale buccodentaire: Moyens et méthodes. Paris: Elsevier, 2004.
Fontenelle, Sébastien. Vive la crise! ou, L'art de répéter (inlassablement) dans les médias qu'il est urgent de réformer (enfin) ce pays de feignants et d'assistés qui vit (vraiment) au-dessus de ses moyens. Paris: Seuil, 2012.
Higginbotham, Elizabeth, and Margaret L. Andersen. Race and ethnicity in society: The changing landscape. Belmont, CA: Thomson/Wadsworth, 2006.
Évaluation du marché des nouveaux médias d'apprentissage. Ottawa, Ont: Industrie Canada, 1996.
ALLIOT-F. La pratique médicale des familles: Précis où l'on expose en peu de mots des moyens de guérir. Hachette Livre - BNF, 2018.
Prabhu, Nagesh. Middle Class, Media and Modi: The Making of a New Electoral Politics. SAGE Publications India Pvt, Ltd., 2020.
Prabhu, Nagesh. Middle Class, Media and Modi: The Making of a New Electoral Politics. SAGE Publications India Pvt, Ltd., 2020.
Skocpol, Theda. The Missing Middle: Working Families and the Future of American Social Policy (Century Foundation Books (Brookings Hardcover)). W. W. Norton & Company, 2000.
Higginbotham, Elizabeth, and Margaret L. Andersen. Race and Ethnicity in Society: The Changing Landscape (with InfoTrac®) (Wadsworth Sociology Reader). Wadsworth Publishing, 2005.
Book chapters on the topic "Médiane de moyennes":
Bonnet, Doris, and Véronique Duchesne. "Infécondité, procréation médicale et inégalités sociales." In Inégalités en perspectives, 177–87. Editions des archives contemporaines, 2019. http://dx.doi.org/10.17184/eac.1628.
NAHON, M., and B. VIVIEN. "Salle de crise du Service d’aide médicale urgente de Paris." In Médecine et Armées Vol. 46 No.3, 225–30. Editions des archives contemporaines, 2018. http://dx.doi.org/10.17184/eac.7337.
COCQUEMPOT, K., J. BANCAREL, J. P. FREIERMUTH, V. BEYLOT, H. MABIT, G. TURBAN, and S. COSTE. "L’évacuation médicale par voie aérienne." In Médecine et Armées Vol. 45 No.2, 221–30. Editions des archives contemporaines, 2017. http://dx.doi.org/10.17184/eac.7437.
Bernard, Michel. "Qu’est-ce que l’obligation de moyens ?" In 160 questions en responsabilité médicale, 170–72. Elsevier, 2010. http://dx.doi.org/10.1016/b978-2-294-70887-9.00072-5.
TOPIN, F., C. BOUTILLIER DU RETAIL, E. DELMOND, X. ANN, A. BELNA, D. PONS, and F. PEDUZZI. "Particularités du sauvetage maritime de grande ampleur et capacités de l’Unité médicale d’intervention en milieu maritime du Bataillon de marins-pompiers de Marseille." In Médecine et Armées Vol. 46 No.3, 255–62. Editions des archives contemporaines, 2018. http://dx.doi.org/10.17184/eac.7341.
CASTELLO, R., J. SAMY, M. CHINELLATO, and L. AIGLE. "Douze ans d’admission en hospitalisation au Centre médical des armées de CALVI." In Médecine et Armées Vol. 44 No.4, 373–82. Editions des archives contemporaines, 2016. http://dx.doi.org/10.17184/eac.6829.
JOUBERT, C., J. B. MORVAN, P. ESNAULT, A. FAIVRE, P. VERDALLE, and A. DAGAIN. "Abcès intracrâniens d’origine otologique chez l’adulte immunocompétent." In Médecine et Armées Vol. 44 No.3, 251–55. Editions des archives contemporaines, 2016. http://dx.doi.org/10.17184/eac.6815.
Bernard, Michel. "Sommes-nous tenus à une obligation de moyens ou une obligation de résultats ?" In 160 questions en responsabilité médicale, 177–79. Elsevier, 2010. http://dx.doi.org/10.1016/b978-2-294-70887-9.00075-0.
REPELLIN, M., A. CASTELNÉRAC, F. LECLERCQ, C. LAFFERRERIE, F. TRÉVIDIC, and J. M. CUVILLIER. "Incidence des pathologies médico-chirurgicales observées à bord des sous-marins nucléaires lanceurs d’engins français de nouvelle génération entre mai 1997 et décembre 2013." In Médecine et Armées Vol. 45 No.2, 167–76. Editions des archives contemporaines, 2017. http://dx.doi.org/10.17184/eac.7430.
CARFANTAN, C., A. DOUCELANCE, PY PEGAZ, R. BEAURAIN, and M. GEHANT. "Activité pédiatrique d’une antenne dans un « désert médical »." In Médecine et Armées Vol. 45 No.2, 253–58. Editions des archives contemporaines, 2017. http://dx.doi.org/10.17184/eac.7441.
Reports on the topic "Médiane de moyennes":
Dostie, Jade, Maurice Doyon, and Laure Saulais. Création d’un outil de mesure de la littératie concernant la gestion de l’offre et d’évaluation de son impact. CIRANO, June 2023. http://dx.doi.org/10.54932/tygi8452.