Search results for "statistical [methods]"
showing 10 items of 1664 documents
Rôle relatif des facteurs individuels, de l’alimentation et de l’activité physique sur la variation de poids sur 5 ans
2016
Introduction et but de l’étude : Les facteurs individuels, les consommations alimentaires, l’activité physique et le statut pondéral forment un ensemble de relations causales complexes. Cependant, le rôle relatif des déterminants individuels, de l’alimentation et de l’activité physique sur les variations de poids n’a pas encore été étudié. L’objectif de cette étude était d’établir un cadre conceptuel causal en estimant l’influence relative des facteurs individuels, des consommations alimentaires et de l’activité physique sur la variation de poids sur 5 ans au sein d’une population d’adultes français.Matériel et méthodes : A l’inclusion, les caractéristiques individuelles, l’activité physiqu…
Infected persons by the fact of a public organism : is a fair compensation by the community realistic ? A graph-theory pproach
1999
The paper focuses on indirectly infected persons (persons infected by a person, infected by a person, etc., itself infected by a public organism, for AIDS, hepatitis C, etc.). It is assumed that fairness implies the national community to indemnify them. Graph theory is used to explain what is indirect infection. The concept of chains of infection, and their length is central. Re-infections are considered also because even individuals that are initially infected by another cause could become later indirectly infected by the public agent. The number of persons to be indemnified is larger than for direct infection, so the cost of compensation is higher, unless if compensation per capita is low…
Matrices de pondérations et contexte spatio-temporel en économétrie spatiale
2013
International audience
Statistical methods for adaptive river basin management and monitoring
2018
Decision-making at different phases of adaptive river basin management planning rely largely on the information that is gained through environmental monitoring. The aim of this thesis was to develop and test statistical assessment tools presumed to be particularly useful for evaluating existing monitoring designs, converting monitoring data into management information and quantifying uncertainties. River basin scale monitoring was performed using a wireless sensor network and a data quality control system and maintenance effort was assessed. National-scale, traditional monitoring data and linear mixed effect modelling were used to estimate the uncertainty in two status class metrics (total …
Association entre l’attirance pour le gras, le sucré et le salé et les fluctuations pondérales sur 4 ans
2016
Introduction et but de l’étude : Des études ont mis en évidence le lien entre l’attirance sensorielle pour le gras, le salé et le sucré et le statut pondéral, souvent évalué par une variation positive ou négative du poids. Les fluctuations pondérales sont également un indicateur pertinent bien que peu étudiées, puisque la multiplication de cycles de perte de poids puis de reprise, communément appelé « yo-yo pondéral » ou « fluctuation pondérales » pourrait avoir d’importantes répercussions sur la santé, tant au niveau physiologique qu’au niveau psychologique. L’objectif de cette étude était d’estimer l’association entre l’attirance pour le gras, le sucré et le salé et l’amplitude des fluctu…
Analítica o evocadora: el debate olvidado de la autoetnografía
2016
Existe la necesidad de una estrategia metodológica eficaz para sostener la investigación sobre la práctica profesional de los servicios sociales. La oposición entre el trabajo autoetnográfico de Carolyn ELLIS y Arthur BOCHNER (2000, 2006) y la propuesta analítica de Leon ANDERSON sirven como una lente a través de la cual explorar los aspectos clave de esta discusión. Mientras ELLIS y BOCHNER rechazan cualquier intento de abstracción o sistematización teórica, ANDERSON pretende tender puentes entre la tradición etnográfica y las formas emergentes de narrativa personal. Después de revisar la literatura autoetnográfica, concluyo que si bien la autoetnografía evocadora parece gozar del apoyo ma…
Exploitation of traffic counting data for traffic study in urban areas: from traffic assignment to simulation model validation
2013
International audience
贝叶斯因子及其在JASP中的实现
2018
Statistical inference plays a critical role in modern scientific research, however, the dominant method for statistical inference in science, null hypothesis significance testing (NHST), is often misunderstood and misused, which leads to unreproducible findings. To address this issue, researchers propose to adopt the Bayes factor as an alternative to NHST. The Bayes factor is a principled Bayesian tool for model selection and hypothesis testing, and can be interpreted as the strength for both the null hypothesis H0 and the alternative hypothesis H1 based on the current data. Compared to NHST, the Bayes factor has the following advantages: it quantifies the evidence that the data provide for…
Do Firms Share the Same Functional Form of Their Growth Rate Distribution? A New Statistical Test
2011
We propose a hypothesis testing procedure to investigate whether the same growth rate distribution is shared by all the firms in a balanced panel or, more generally, whether they share the same functional form for this distribution, without necessarily sharing the same parameters. We apply the test to panels of US and European Union publicly quoted manufacturing firms, both at the sectoral and at the subsectoral NAICS levels. We consider the following null hypotheses about the growth rate distribution of the individual firms: i) an unknown shape common to all firms, with all the firms sharing also the same parameters, or with the firm variance related to its firm size through a scaling rela…
A word prediction methodology for automatic sentence completion
2015
Word prediction generally relies on n-grams occurrence statistics, which may have huge data storage requirements and does not take into account the general meaning of the text. We propose an alternative methodology, based on Latent Semantic Analysis, to address these issues. An asymmetric Word-Word frequency matrix is employed to achieve higher scalability with large training datasets than the classic Word-Document approach. We propose a function for scoring candidate terms for the missing word in a sentence. We show how this function approximates the probability of occurrence of a given candidate word. Experimental results show that the proposed approach outperforms non neural network lang…