Academic literature on the topic 'Série chronologique'
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Journal articles on the topic "Série chronologique"
Caissie, D., and N. El-Jabi. "Étude sur le choix du seuil de troncature en analyse des séries de durées partielles : application au Canada." Revue des sciences de l'eau 5, no. 2 (April 12, 2005): 291–307. http://dx.doi.org/10.7202/705133ar.
Full textBondon, Pascal. "Représentation autorégressive du prédicteur à passé infini incomplet d'une série chronologique stationnaire." Comptes Rendus de l'Académie des Sciences - Series I - Mathematics 330, no. 10 (May 2000): 915–20. http://dx.doi.org/10.1016/s0764-4442(00)00287-1.
Full textPedroso Mateus, Odair. "Une plongée au cœur du dialogue œcuménique multilatéral." Revue d'éthique et de théologie morale N° 323, no. 3 (June 13, 2024): 15–29. http://dx.doi.org/10.3917/retm.3234.0015.
Full textMariot, Nicolas. "Qu’est-ce qu’un « enthousiasme civique » ? Sur l’historiographie des fêtes politiques en France après 1789." Annales. Histoire, Sciences Sociales 63, no. 1 (February 2008): 111–39. http://dx.doi.org/10.1017/s0395264900023891.
Full textAlliance, MURHULA SAFARI. "LA PROBLEMATIQUE DE RECOUVREMENT DES CREANCES COMMERCIALESA LA SOCIETE NATIONALE D’ELECTRICITE BUKAVU." IJRDO - Journal of Business Management 8, no. 12 (December 20, 2022): 23–31. http://dx.doi.org/10.53555/bm.v8i12.5485.
Full textBen Alaya, N., R. Sadok, H. Bellali, A. Mrabet, N. Achour, and M. Chahed. "Surmortalité associée au froid en Tunisie : analyse d’une série chronologique de 1991 à 2007." Revue d'Épidémiologie et de Santé Publique 60 (September 2012): S91. http://dx.doi.org/10.1016/j.respe.2012.06.177.
Full textBarthelemy, D., and M. Goubier. "Etude du cycle nycthéméral de la teneur en oxygène dissous en bassins de pisciculture par la méthode des moyennes mobiles. Relation avec la température et l'insolation." Revue des sciences de l'eau 4, no. 3 (April 12, 2005): 393–414. http://dx.doi.org/10.7202/705107ar.
Full textAkpo, Léonnard Elie, Michel Grouzis, and André Gaston. "Pluviosité et productivité des herbages de l'aire pastorale de Wiidu Thiengoli au Ferlo (Nord Sénégal). Estimation des charges fréquentielles." Revue d’élevage et de médecine vétérinaire des pays tropicaux 46, no. 4 (April 1, 1993): 675–81. http://dx.doi.org/10.19182/remvt.9424.
Full textBanniard, Michel. "Cum tamen aduersos cogor habere deos (Rome, -50)… Manducando filius meus panem ego morieba de famen (Burgos, + 950) : le latin et ses métamorphoses en diachronie longue, des fluctuations du latin classique aux nouvelles régulations du protoroman." Archivum Latinitatis Medii Aevi 77, no. 1 (2019): 27–71. http://dx.doi.org/10.3406/alma.2019.2568.
Full textBrault, Clément, and Laurent Brochard. "L’histoire du syndrome de détresse respiratoire aigüe : de Laennec au COVID-19." Médecine Intensive Réanimation 32, Hors-série 1 (June 13, 2023): 21–38. http://dx.doi.org/10.37051/mir-00162.
Full textDissertations / Theses on the topic "Série chronologique"
Boughrara, Adel. "Sur la modélisation dynamique retrospective et prospective des séries temporelles : une étude méthodologique." Aix-Marseille 3, 1997. http://www.theses.fr/1997AIX32054.
Full textThe past years have witnessed intensive competition among economic and econometric methodologies attempting to explain macroeconomic behaviour. Alternative schools have made claims with respect both to the purity of their methodology and to their ability to explain the facts. This thesis investigates the epistemological foundations of the major competitors, namely, the new classical school with its links to prospective econometric modelling on the one hand, and the retrospective modelling which is more close to inductive methods, on the other hand. The main conclusion of the thesis is that none of the rival schools has a very tight link with the popperien epistemology of falsificationism
Guillemé, Maël. "Extraction de connaissances interprétables dans des séries temporelles." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1S102.
Full textEnergiency is a company that sells a platform to allow manufacturers to analyze their energy consumption data represented in the form of time series. This platform integrates machine learning models to meet customer needs. The application of such models to time series encounters two problems: on the one hand, some classical machine learning approaches have been designed for tabular data and must be adapted to time series, on the other hand, the results of some approaches are difficult for end users to understand. In the first part, we adapt a method to search for occurrences of temporal rules on time series from machines and industrial infrastructures. A temporal rule captures successional relationships between behaviors in time series . In industrial series, due to the presence of many external factors, these regular behaviours can be disruptive. Current methods for searching the occurrences of a rule use a distance measure to assess the similarity between sub-series. However, these measurements are not suitable for assessing the similarity of distorted series such as those in industrial settings. The first contribution of this thesis is the proposal of a method for searching for occurrences of temporal rules capable of capturing this variability in industrial time series. For this purpose, the method integrates the use of elastic distance measurements capable of assessing the similarity between slightly deformed time series. The second part of the thesis is devoted to the interpretability of time series classification methods, i.e. the ability of a classifier to return explanations for its results. These explanations must be understandable by a human. Classification is the task of associating a time series with a category. For an end user inclined to make decisions based on a classifier’s results, understanding the rationale behind those results is of great importance. Otherwise, it is like having blind confidence in the classifier. The second contribution of this thesis is an interpretable time series classifier that can directly provide explanations for its results. This classifier uses local information on time series to discriminate against them. The third and last contribution of this thesis, a method to explain a posteriori any result of any classifier. We carried out a user study to evaluate the interpretability of our method
Houfaidi, Souad. "Robustesse et comportement asymptotique d'estimateurs des paramètres d'une série chronologique : (AR(P) et ARMA(P, Q))." Nancy 1, 1986. http://www.theses.fr/1986NAN10065.
Full textGagnon, Jean-François. "Prévision humaine de séries temporelles." Doctoral thesis, Université Laval, 2014. http://hdl.handle.net/20.500.11794/25243.
Full textIraqui, Samir. "Détection statique en temps semi réel de valeurs aberrantes dans une série chronologique de données bactériologiques." Rouen, 1986. http://www.theses.fr/1986ROUES042.
Full textChukunyere, Amenan Christiane. "Les modèles VAR(p)." Master's thesis, Université Laval, 2019. http://hdl.handle.net/20.500.11794/35696.
Full textThis thesis aims to study a family of methods to jointly model several time series. We use these methods to predict the behavior of five US time series and to highlight the dynamic links that might exist between them. To do this, we use the p-order autoregressive vector models proposed by Sims (1980), which are a multivariate generalization of the Box and Jenkins models. First, we define a set of concepts and statistical tools that will be useful for the understanding of notions used later in this thesis. Follows the presentation of the models and the method of Box and Jenkins. This method is applied to each of the five series in order to have univariate models. Then, we present the VAR(p) models and we test the fit of these models to a vector series whose components are the five aforementioned series. We discuss the added value of multivariate analysis compared to the five univariate analyzes.
Desrosiers, Maxime. "Le prix du risque idiosyncrasique : une analyse en séries temporelles et coupe transversale." Master's thesis, Université Laval, 2020. http://hdl.handle.net/20.500.11794/67076.
Full textBenson, Marie Anne. "Pouvoir prédictif des données d'enquête sur la confiance." Master's thesis, Université Laval, 2021. http://hdl.handle.net/20.500.11794/69497.
Full textConfidence survey data are time series containting the responses to questions aiming to measure confidence and expectations of economic agents about future economic activity. The richness of these data and their availability in real time attracts the interest of many forecasters who see it as a way to improve their traditional forecasts. In this thesis, I assess the predictive power of survey data for the future evolution of Canadian GDP, while comparing the forecasting performance of the Conference Board of Canada own confidence indices to the indicators I construct using principal component analysis. Using three simple linear models, I carry out an out-of-sample forecasting experiment with rolling windows on the period 1980 to 2019. The results show that principal component analysis provides better-performing indicators than the indices produced by the Conference Board. However, the results of the study cannot show that clear that confidence improves forecasting unambiguently once the lagged growth rate of GDP is added to the analysis.
Tatsa, Sylvestre. "Modélisation et prévision de la consommation horaire d'électricité au Québec : comparaison de méthodes de séries temporelles." Thesis, Université Laval, 2014. http://www.theses.ulaval.ca/2014/30329/30329.pdf.
Full textThis work explores the dynamics of residential electricity consumption in Quebec using hourly data from January 2006 to December 2010. We estimate three standard autoregressive models in time series analysis: the Holt-Winters exponential smoothing, the seasonal ARIMA model (SARIMA) and the seasonal ARIMA model with exogenous variables (SARIMAX). For the latter model, we focus on the effect of climate variables (temperature, relative humidity and dew point and cloud cover). Climatic factors have a significant impact on the short-term electricity consumption. The intra-sample and out-of-sample predictive performance of each model is evaluated with various adjustment indicators. Three out-of-sample time horizons are tested: 24 hours (one day), 72 hours (three days) and 168 hours (1 week). The SARIMA model provides the best out-of-sample predictive performance of 24 hours. The SARIMAX model reveals the most powerful out-of-sample time horizons of 72 and 168 hours. Additional research is needed to obtain predictive models fully satisfactory from a methodological point of view. Keywords: modeling, electricity, Holt-Winters, SARIMA, SARIMAX.
Bougas, Constantinos. "Forecasting Air Passenger Traffic Flows in Canada : An Evaluation of Time Series Models and Combination Methods." Thesis, Université Laval, 2013. http://www.theses.ulaval.ca/2013/30093/30093.pdf.
Full textThis master’s thesis studies the Canadian air transportation sector, which has experienced significant growth over the past fifteen years. It provides short and medium term forecasts of the number of enplaned/ deplaned air passengers in Canada for three geographical subdivisions of the market: domestic, transborder (US) and international flights. It uses various time series forecasting models: harmonic regression, Holt-Winters exponential smoothing, autoregressive-integrated-moving average (ARIMA) and seasonal autoregressive-integrated-moving average (SARIMA) regressions. In addition, it examines whether or not combining forecasts from each single model helps to improve forecasting accuracy. This last part of the study is done by applying two forecasting combination techniques: simple averaging and a variety of variance-covariance methods. Our results indicate that all models provide accurate forecasts, with MAPE and RMSPE scores below 10% on average. All adequately capture the main statistical characteristics of the Canadian air passenger series. Furthermore, combined forecasts from the single models always outperform those obtained from the single worst model. In some instances, they even dominate the forecasts from the single best model. Finally, these results should encourage the Canadian government, air transport authorities, and the airlines operating in Canada to use combination techniques to improve their short and medium term forecasts of passenger flows. Key Words: Air passengers, Forecast combinations, Time Series, ARIMA, SARIMA, Canada.
Books on the topic "Série chronologique"
Gourieroux, Christian. Séries temporelles et modèles dynamiques. Paris: Economica, 1990.
Find full textBowerman, Bruce L. Time series forecasting: Unified concepts and computer implementation. 2nd ed. Boston: Duxbury Press, 1987.
Find full textMills, Terence C. Time series techniques for economists. Cambridge [England]: Cambridge University Press, 1990.
Find full textMills, Terence C. Time series techniques for economists. Cambridge: Cambridge University Press, 1992.
Find full textBook chapters on the topic "Série chronologique"
Letellier-Taillefer, Éloïse. "La couverture des aditus et les origines du « théâtre latin »." In Les théâtres antiques et leurs entrées, 119–42. Lyon: MOM Éditions, 2024. http://dx.doi.org/10.4000/11qqz.
Full textCONRADSEN, Knut, Henning SKRIVER, Morton J. CANTY, and Allan A. NIELSEN. "Détection de séries de changements dans des séries d’images SAR polarimétriques." In Détection de changements et analyse des séries temporelles d’images 1, 41–81. ISTE Group, 2022. http://dx.doi.org/10.51926/iste.9056.ch2.
Full textDUMITRU, Corneliu Octavian, and Mihai DATCU. "Analyse sémantique de séries chronologiques d’images satellitaires." In Détection de changements et analyse des séries temporelles d’images 2, 99–123. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9057.ch3.
Full textMOLINIER, Matthieu, Jukka MIETTINEN, Dino IENCO, Shi QIU, and Zhe ZHU. "Analyse de séries chronologiques d’images satellitaires optiques pour des applications environnementales." In Détection de changements et analyse des séries temporelles d’images 2, 125–74. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9057.ch4.
Full textHEDHLI, Ihsen, Gabriele MOSER, Sebastiano B. SERPICO, and Josiane ZERUBIA. "Champs de Markov et séries chronologiques d’images multicapteurs et multirésolution." In Détection de changements et analyse des séries temporelles d’images 2, 5–39. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9057.ch1.
Full textATTO, Abdourrahmane M., Fatima KARBOU, Sophie GIFFARD-ROISIN, and Lionel BOMBRUN. "Clustering fonctionnel de séries d’images par entropies relatives." In Détection de changements et analyse des séries temporelles d’images 1, 121–38. ISTE Group, 2022. http://dx.doi.org/10.51926/iste.9056.ch4.
Full textPELLETIER, Charlotte, and Silvia VALERO. "Techniques de classification basées sur les pixels pour les séries chronologiques d’images satellitaires." In Détection de changements et analyse des séries temporelles d’images 2, 41–98. ISTE Group, 2024. http://dx.doi.org/10.51926/iste.9057.ch2.
Full textMIAN, Ammar, Guillaume GINOLHAC, Jean-Philippe OVARLEZ, Arnaud BRELOY, and Frédéric PASCAL. "Détection de changements basée sur les covariances de séries d’images SAR." In Détection de changements et analyse des séries temporelles d’images 1, 83–120. ISTE Group, 2022. http://dx.doi.org/10.51926/iste.9056.ch3.
Full textKARBOU, Fatima, Guillaume JAMES, Philippe DURAND, and Abdourrahmane M. ATTO. "Seuils et distances pour la détection de neige avec les séries d’images Sentinel-1." In Détection de changements et analyse des séries temporelles d’images 1, 139–58. ISTE Group, 2022. http://dx.doi.org/10.51926/iste.9056.ch5.
Full text"La prévision et les fluctuations des séries chronologiques." In La prévision-prospective en gestion, 141–84. Presses de l'Université du Québec, 2005. http://dx.doi.org/10.2307/j.ctv18phdq8.11.
Full textReports on the topic "Série chronologique"
Chen, Z., S. E. Grasby, W. Yuan, M. Colpron, and X. Liu. Methodology study of geothermal resource evaluation using remote-sensing and ground-surface temperature data, Burwash Landing, Yukon – status and preliminary results. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/p15d0hqc2g.
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