Search results for " statistics"

showing 10 items of 1891 documents

Les vulnérabilités étudiantes : quels effets sur les parcours ?

2023

Les vulnérabilités étudiantes sont cumulatives et multidimensionnelles. Elles ont un effet négatif sur les parcours d’études et la réussite au diplôme des étudiants concernés.

insertion professionnelle[STAT]Statistics [stat]inégalitésEDU015000JNMformation professionnelleenseignement supérieurreprise d’étudesformation tout au long de la viecheminement scolaireEducation[STAT] Statistics [stat]
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Large-scale nonlinear dimensionality reduction for network intrusion detection

2017

International audience; Network intrusion detection (NID) is a complex classification problem. In this paper, we combine classification with recent and scalable nonlinear dimensionality reduction (NLDR) methods. Classification and DR are not necessarily adversarial, provided adequate cluster magnification occurring in NLDR methods like $t$-SNE: DR mitigates the curse of dimensionality, while cluster magnification can maintain class separability. We demonstrate experimentally the effectiveness of the approach by analyzing and comparing results on the big KDD99 dataset, using both NLDR quality assessment and classification rate for SVMs and random forests. Since data involves features of mixe…

intrusion detection[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG][STAT.ML] Statistics [stat]/Machine Learning [stat.ML][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]ComputingMethodologies_PATTERNRECOGNITION[STAT.ML]Statistics [stat]/Machine Learning [stat.ML][INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]Gower[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[ STAT.ML ] Statistics [stat]/Machine Learning [stat.ML][SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingdimensionality reduction
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Interpreting the decomposition of gender earnings gap

2010

In this paper we discuss a decomposition of the gender monthly earnings differential into three components: the first is due to differences in individual characteristics, the second is due to discrimination and the last to the differential in hours worked. The Oaxaca-Blinder hourly wage decomposition is perfectly integrated into the decomposition of the monthly earnings gap. In order to evaluate the effects of this components on the monthly earnings gap, we calculate counterfactual earnings gaps, estimating what would happen if various aspects relating to the two genders were equal (for example, educational level), and then we compare these with the empirical earnings gap. The aim of the co…

labor statistics gender pay gap Oaxaca-Blinder decomposition counterfactual measures
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SCAN-TO-BIM FOR THE MANAGEMENT OF HERITAGE BUILDINGS: THE CASE STUDY OF THE CASTLE OF MAREDOLCE (PALERMO, ITALY)

2020

Abstract. Conservation and preservation of heritage buildings require the knowledge and sharing of a great deal of data and information about buildings. Such information comes from the different disciplines involved in the restoration and maintenance processes. The integration and use of all this information in a single working environment is a key factor for the success of historical building conservation and management projects. Heritage (or Historic) Building Information Modelling (HBIM) is nowadays the most appropriate tool to collect and manage all data related to Architectural Heritage. The HBIM process requires an in-depth knowledge of the historical building that can be achieved usi…

lcsh:Applied optics. Photonics3D modelling HBIM Laser scanner Point cloud Scan-to-BIMEngineeringArchitectural engineeringProcess (engineering)Settore ICAR/10 - Architettura Tecnica02 engineering and technologylcsh:Technology01 natural sciencesArchitectural heritage0202 electrical engineering electronic engineering information engineeringParametric modellingParametric statisticslcsh:Tbusiness.industry010401 analytical chemistrylcsh:TA1501-18200104 chemical sciencesBuilding information modelingWork (electrical)lcsh:TA1-2040Settore ICAR/17 - Disegno020201 artificial intelligence & image processinglcsh:Engineering (General). Civil engineering (General)businessSettore ICAR/06 - Topografia E CartografiaWorking environmentThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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CLUSTERING INCOMPLETE SPECTRAL DATA WITH ROBUST METHODS

2018

Abstract. Missing value imputation is a common approach for preprocessing incomplete data sets. In case of data clustering, imputation methods may cause unexpected bias because they may change the underlying structure of the data. In order to avoid prior imputation of missing values the computational operations must be projected on the available data values. In this paper, we apply a robust nan-K-spatmed algorithm to the clustering problem on hyperspectral image data. Robust statistics, such as multivariate medians, are more insensitive to outliers than classical statistics relying on the Gaussian assumptions. They are, however, computationally more intractable due to the lack of closed-for…

lcsh:Applied optics. PhotonicsMultivariate statisticsComputer scienceGaussianCorrelation clusteringRobust statisticsspectral datacomputer.software_genrelcsh:Technologysymbols.namesakeCURE data clustering algorithmImputation (statistics)interpolointiCluster analysisK-meansnan-K-spatmedlcsh:Tk-means clusteringlcsh:TA1501-1820robust statistical methodsMissing dataData setlcsh:TA1-2040OutliersymbolsData mininglcsh:Engineering (General). Civil engineering (General)computerclustering
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Parametric uncertainty or hydrological changes?

2014

Abstract. The model calibration is the way of hydrologists for searching also a physical interpretation of complex interactions acting within a basin. Actually, it can be frequently noticed how model calibration performed on a given time-window may converge to a point in the parameter space that could be distant from another obtainable calibration of the model in the same basin but considering a different time window. Is that again parametric uncertainty or does the trajectory in the parametric space relate about to a slow hydrological basin change? This paper depicts a possible path for detecting changes' signatures in a streamflow time series. In particular, the paper seeks to draw a way …

lcsh:GE1-350MeteorologyCalibration (statistics)Settore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologialcsh:QE1-996.5General MedicineVariation (game tree)coupled human-water systemParameter spaceStructural basinmodellinglcsh:GeologyGeographycoupled human-water systems; modelling; hydrological changeClimatologyStreamflowhydrological changeTrajectoryPoint (geometry)lcsh:Environmental sciencesParametric statisticsProceedings of the International Association of Hydrological Sciences
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Optical Methods for River Monitoring: A Simulation-Based Approach to Explore Optimal Experimental Setup for LSPIV

2021

Recent advances in image-based methods for environmental monitoring are opening new frontiers for remote streamflow measurements in natural environments. Such techniques offer numerous advantages compared to traditional approaches. Despite the wide availability of cost-effective devices and software for image processing, these techniques are still rarely systematically implemented in practical applications, probably due to the lack of consistent operational protocols for both phases of images acquisition and processing. In this work, the optimal experimental setup for LSPIV based flow velocity measurements under different conditions is explored using the software PIVlab, investigating perfo…

lcsh:Hydraulic engineeringComputer scienceGeography Planning and DevelopmentReal-time computingImage processingAquatic ScienceBiochemistrySoftwarelcsh:Water supply for domestic and industrial purposesimage analysislcsh:TC1-978Environmental monitoringparticle image velocimetrySensitivity (control systems)Water Science and TechnologyParametric statisticsenvironmental monitoringlcsh:TD201-500business.industrysynthetic image sequenceSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologiasurface flow velocityParticle image velocimetryFlow velocitySeedingbusinessimage analysiWater
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Challenges in dental statistics: survey methodology topics

2022


 This paper gathers some contributions concerning survey methodology in dental research, as discussed during the first Workshop of the SISMEC STATDENT working group on statistical methods and applications in dentistry, held in Ancona on the 28th September 2011.
 The first contribution deals with the European Global Oral Health Indicators Development (EGOHID) Project which proposed a comprehensive and standardized system of epidemiological tools (questionnaires and clinical forms) for national data collection on oral health in Europe. The second contribution regards the design and conduct of trials to evaluate the clinical efficacy and safety of toothbrushes and mouthrinses. Final…

lcsh:R5-920Medical educationbusiness.industryDental researchlcsh:Public aspects of medicineDentistrylcsh:RA1-1270Oral healthDental agetoothbrushSettore MED/01 - Statistica Medicadental research oral health mouthrinse toothbrush dental age statisticsdental age; dental research; mouthrinse; oral health; statistics; toothbrushSurvey methodologymouthrinseSettore MED/28 - Malattie Odontostomatologichestatisticsoral healthMedicinedental researchClinical efficacylcsh:Medicine (General)businessdental ageNational dataEpidemiology, Biostatistics, and Public Health
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Within-student variability in learning experiences, and teachers’ perceptions of students’ task-focus

2016

In order to advance models of educational processes (intraindividual, intensive longitudinal), we propose a model in which we specify state and trait constructs, and an intraindividual variability construct. In our ecological momentary assessment study, we investigated how trait-level and intraindividual variability of students’ learning experiences (intrinsic and extrinsic motivation, task difficulty, effort exertion, help-seeking and competence evaluations) converged with teacher-reported student task-focus. 285 primary school students’ (Years 5 and 6) completed the Learning Experience Questionnaire using handheld computers, on average 13.6 learning episodes during one week (SD = 4.6; Ran…

learning experienceMultivariate statisticsmedia_common.quotation_subjectecological momentary assessmentStructural equation modelingEducationDevelopmental psychologyLearning experienceintraindividual variabilityPerceptionmultilevel structural equation modelTraitPsychologyCompetence (human resources)ta515media_commonIntrapersonal communication
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On a Robin (p,q)-equation with a logistic reaction

2019

We consider a nonlinear nonhomogeneous Robin equation driven by the sum of a \(p\)-Laplacian and of a \(q\)-Laplacian (\((p,q)\)-equation) plus an indefinite potential term and a parametric reaction of logistic type (superdiffusive case). We prove a bifurcation-type result describing the changes in the set of positive solutions as the parameter \(\lambda \gt 0\) varies. Also, we show that for every admissible parameter \(\lambda \gt 0\), the problem admits a smallest positive solution.

local minimizersminimal positive solutionsPure mathematicspositive solutionsGeneral MathematicsType (model theory)Lambda01 natural sciencesPositive solutionSet (abstract data type)Maximum principlesuperdiffusive reactionSettore MAT/05 - Analisi Matematicaindefinite potential0101 mathematicsParametric statisticsMathematicsMinimal positive solutionrobin boundary conditionlcsh:T57-57.97010102 general mathematicsRobin boundary conditionTerm (time)010101 applied mathematicsNonlinear systemmaximum principlelcsh:Applied mathematics. Quantitative methodsLocal minimizerOpuscula Mathematica
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