Search results for " Statistics"
showing 10 items of 1891 documents
Development of Computerized Adaptive Testing for Emotion Regulation
2020
Emotion regulation (ER) plays a vital role in individuals’ well-being and successful functioning. In this study, we attempted to develop a computerized adaptive testing (CAT) to efficiently evaluate ER, namely the CAT-ER. The initial CAT-ER item bank comprised 154 items from six commonly used ER scales, which were completed by 887 participants recruited in China. We conducted unidimensionality testing, item response theory (IRT) model comparison and selection, and IRT item analysis including local independence, item fit, differential item functioning, and item discrimination. Sixty-three items with good psychometric properties were retained in the final CAT-ER. Then, two CAT simulation stud…
Le Graphe Génératif Gaussien
2009
International audience; Un nuage de points est plus qu'un ensemble de points isolés. La distribution des points peut être gouvernée par une structure topologique cachée, et du point de vue de la fouille de données, modéliser et extraire cette structure est au moins aussi important que d'estimer la seule densité de probabilité du nuage. Dans cet article, nous proposons un modèle génératif basé sur le graphe de Delaunay d'un ensemble de prototypes représentant le nuage de points, et supposant un bruit gaussien. Nous dérivons un algorithme pour la maximisation de la vraisemblance des paramètres, et nous utilisons le critère BIC pour sélectionner la complexité du modèle. Ce travail a pour objec…
L'INFLUENCE DE L'INTRUSION PERÇUE SUR LES COMPORTEMENTS DE RÉSISTANCE AUX FORMATS DE PUBLICITÉ SUR INTERNET
2012
Drawing from the theoretical framework defined by Roux (2007), this research examines the relationship between perceived advertising intrusion (Anzieu, 1994) and manifestations of consumer resistance (Hirschman, 1970). The results show that the intrusion does not significantly affect the expression or intention to return to the website. However, it influences positively defection and negatively purchase intention of the product promoted in the ad.
KERNEL ESTIMATION OF THE TRANSITION DENSITY IN BIFURCATING MARKOV CHAINS
2023
We study the kernel estimator of the transition density of bifurcating Markov chains. Under some ergodic and regularity properties, we prove that this estimator is consistent and asymptotically normal. Next, in the numerical studies, we propose two data-driven methods to choose the bandwidth parameters. These methods are based on the so-called two bandwidths approach.
L’engagement des chercheurs dans la vulgarisation scientifique
2012
International audience; Quelle attitude ont les chercheurs vis-à-vis de la vulgarisation scientifique ? Voilà une question que tout médiateur scientifique est amené à se poser. Elle intéresse aussi les gouvernements et les grandes institutions scientifiques qui incitent les chercheurs à communiquer auprès du grand public et cherchent des solutions pour améliorer cette communication.Nous avons recherché des études et des enquêtes qui, depuis 1992, auraient proposé des diagnostics sur l’attitude, l’intérêt et surtout l’engagement des chercheurs dans cette pratique de vulgarisation. Notre propos s’articulera autour d’une étude clé, publiée en 2007 par Ellen Poliakoff et Thomas L Webb qui s’int…
Computational Techniques for the Analysis of Small Signals in High-Statistics Neutrino Oscillation Experiments
2020
The current and upcoming generation of Very Large Volume Neutrino Telescopes – collecting unprecedented quantities of neutrino events – can be used to explore subtle effects in oscillation physics, such as (but not restricted to) the neutrino mass ordering. The sensitivity of an experiment to these effects can be estimated from Monte Carlo simulations. With the high number of events that will be collected, there is a trade-off between the computational expense of running such simulations and the inherent statistical uncertainty in the determined values. In such a scenario, it becomes impractical to produce and use adequately-sized sets of simulated events with traditional methods, such as M…
Villes, densité et fractalité
1995
International audience; Ce bref article résumé les résultats d'analyses fractales effectuées sur les villes françaises à plusieurs dates pour deux niveaux d'observation: les tissus urbains caractérisés par la distribution spatiale des surfaces bâties d'une part, et le semis des villes de différentes tailles dans l'ensemble du territoire français d'autre part. Les méthodes de mesure sont rapidement expliquées, l'accent est mis sur la signification des nombres obtenus, leur comparaison d'une ville à l'autre et leur évolution au cours du temps.
Information and communication technologies and teacher education in the new paradigms of higher education
2018
Abstract Media use in the teaching process occurs in several forms. Information and communication technologies can be used as work equipment and teaching aids, as well as tools or curriculum units, particularly in higher education. Technological changes and new information technologies, in addition to substantive knowledge of the material, require from teachers creativity, knowledge, and the skills of the didactic design of teaching using modern multimedia tools. In Croatia, there is a lack of research aimed at assessing the initial state of computer literacy within the higher education institutions. The aim of this study was to determine the level of knowledge and digital competence of (no…
Beyond Tandem Analysis: Joint Dimension Reduction and Clustering in R
2019
We present the R package clustrd which implements a class of methods that combine dimension reduction and clustering of continuous or categorical data. In particular, for continuous data, the package contains implementations of factorial K-means and reduced K-means; both methods combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means, i-FCB and cluster correspondence analysis, which combine multiple correspondence analysis with K-means. Two examples on real data sets are provided to illustrate the usage of the main functions.
Nonlinear Time-Series Adaptation for Land Cover Classification
2017
Automatic land cover classification from satellite image time series is of paramount relevance to assess vegetation and crop status, with important implications in agriculture, biofuels, and food. However, due to the high cost and human resources needed to characterize and classify land cover through field campaigns, a recurrent limiting factor is the lack of available labeled data. On top of this, the biophysical–geophysical variables exhibit particular temporal structures that need to be exploited. Land cover classification based on image time series is very complex because of the data manifold distortions through time. We propose the use of the kernel manifold alignment (KEMA) method for…