Search results for " Statistical Methods"

showing 10 items of 29 documents

Initial results on energy resolution of the NEXT-White detector

2018

One of the major goals of the NEXT-White (NEW) detector is to demonstrate the energy resolution that an electroluminescent high pressure xenon TPC can achieve for high energy tracks. For this purpose, energy calibrations with 137Cs and 232Th sources have been carried out as a part of the long run taken with the detector during most of 2017. This paper describes the initial results obtained with those calibrations, showing excellent linearity and an energy resolution that extrapolates to approximately 1% FWHM at Q$_{\beta\beta}$.

High energyPhysics - Instrumentation and DetectorsTime projection chamberschemistry.chemical_elementFOS: Physical sciences01 natural sciencesXenonOpticsEngineeringAffordable and Clean Energy0103 physical sciences010306 general physicsInstrumentationMathematical PhysicsLarge detector-systems performancePhysics010308 nuclear & particles physicsbusiness.industryDetectorResolution (electron density)LinearityInstrumentation and Detectors (physics.ins-det)Double-beta decay detectorsNuclear & Particles PhysicsOther Physical SciencesFull width at half maximumchemistryHigh pressurePhysical SciencesAnalysis and statistical methodsbusinessEnergy (signal processing)
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Job Satisfaction among Primary School Personnel

2016

International audience; This article analyzes the job satisfaction of primary school teachers inMadagascar. Based on the estimation of multilevel models, low wages and problems getting paid, job insecurity, lack of in-service training, high pupil-teacher ratios, and lack of basic infrastructure and teaching materials are identified as the main reasons for dissatisfaction. Principals' control of teachers' activities also adversely affects satisfaction, suggesting that, in Malagasy schools, neither school directors nor teachers have succeeded in adopting organizational cultures based on cooperation among their members. These results are likely to stimulate debates on educational policy, both …

JEL: J - Labor and Demographic Economics/J.J2 - Demand and Supply of Labor/J.J2.J28 - Safety • Job Satisfaction • Related Public Policy[SHS.EDU]Humanities and Social Sciences/Educationmultilevel models[SHS.EDU] Humanities and Social Sciences/EducationJEL: C - Mathematical and Quantitative Methods/C.C1 - Econometric and Statistical Methods and Methodology: General/C.C1.C13 - Estimation: GeneralJEL : I - Health Education and Welfare/I.I2 - Education and Research Institutions/I.I2.I25 - Education and Economic DevelopmentJEL: I - Health Education and Welfare/I.I2 - Education and Research Institutions/I.I2.I21 - Analysis of Education[ SHS.EDU ] Humanities and Social Sciences/Education[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL : J - Labor and Demographic Economics/J.J2 - Demand and Supply of Labor/J.J2.J28 - Safety • Job Satisfaction • Related Public PolicyJEL: I - Health Education and Welfare/I.I2 - Education and Research Institutions/I.I2.I25 - Education and Economic DevelopmentJEL : C - Mathematical and Quantitative Methods/C.C1 - Econometric and Statistical Methods and Methodology: General/C.C1.C13 - Estimation: GeneralJob satisfactionprimary educationMadagascar[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceJEL : I - Health Education and Welfare/I.I2 - Education and Research Institutions/I.I2.I21 - Analysis of Education
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Nature et impacts des effets spatiaux sur les valeurs immobilières : le cas de l'espace urbanisé francilien

2013

International audience

JEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R14 - Land Use PatternsJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing DemandJEL : C - Mathematical and Quantitative Methods/C.C5 - Econometric Modeling/C.C5.C52 - Model Evaluation Validation and SelectionJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing Demand[SHS.STAT]Humanities and Social Sciences/Methods and statisticséconométrie spatialemodèle hédoniqueJEL: C - Mathematical and Quantitative Methods/C.C1 - Econometric and Statistical Methods and Methodology: General/C.C1.C12 - Hypothesis Testing: General[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL: C - Mathematical and Quantitative Methods/C.C5 - Econometric Modeling/C.C5.C52 - Model Evaluation Validation and SelectionJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R1 - General Regional Economics/R.R1.R14 - Land Use Patternseffets de voisinage[SHS.STAT] Humanities and Social Sciences/Methods and statisticsJEL : C - Mathematical and Quantitative Methods/C.C1 - Econometric and Statistical Methods and Methodology: General/C.C1.C12 - Hypothesis Testing: General[ SHS.ECO ] Humanities and Social Sciences/Economies and financesvaleurs immobilières[SHS.ECO] Humanities and Social Sciences/Economics and Finance[ SHS.STAT ] Humanities and Social Sciences/Methods and statisticsComputingMilieux_MISCELLANEOUS
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Spatial effects of urban public policies on housing values

2009

International audience; Problems of spatial segregation have often stressed on the social status and social capital of a neighbourhood as main driving forces behind housing price formation. In this paper, it is assumed that spatial effects are additional variables worth considering since the impact of urban policies such as social housing policies and urban regeneration policies may permeate outside the areas where they are implemented. Our case study is of the urban area of Dijon (France), where these two types of urban policies have been implemented in the last three decades. Spatial effects are introduced in the hedonic model and a spatial error model is estimated, revealing a positive a…

JEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing Demandurban policiesJEL : C - Mathematical and Quantitative Methods/C.C4 - Econometric and Statistical Methods: Special TopicsPublic housingGeography Planning and DevelopmentPublic policyUrban regenerationEnvironmental Science (miscellaneous)Urban areaneighbourhood effectsJEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R28 - Government PolicyDeprived districts[ SHS.ECO ] Humanities and Social Sciences/Economies and financesEconomic geography[SHS.ECO] Humanities and Social Sciences/Economics and FinanceNeighbourhood (mathematics)JEL : R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R21 - Housing Demandgeography.geographical_feature_category[SHS.ECO]Humanities and Social Sciences/Economics and FinanceGeographyspatial econometricsEconomyPrice formationhedonic modelJEL: C - Mathematical and Quantitative Methods/C.C4 - Econometric and Statistical Methods: Special TopicsJEL: R - Urban Rural Regional Real Estate and Transportation Economics/R.R2 - Household Analysis/R.R2.R28 - Government PolicySocial capitalSocial status
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Effect of sperm concentration and storage temperature on goat spermatozoa during liquid storage

2020

The use of cooled semen is relatively common in goats. There are a number of advantages of cooled semen doses, including easier handling of artificial insemination (AI) doses, transport, more AI doses per ejaculate, and higher fertility rates in comparison with frozen AI doses. However, cooled semen has a short shelf life. The objective of this study was to examine the effect of temperature and sperm concentration on the in vitro sperm quality during liquid storage for 48 h, including sperm motility and kinetics, response to oxidation, mitochondrial membrane potential (MMP) and DNA fragmentation in goats. Three experiments were performed. In the first, the effects of liquid preservation of …

L53 Animal physiology - Reproductionmedicine.medical_treatmentDNA fragmentationmitochondrial activitylaw.invention0302 clinical medicineL10 Animal genetics and breedinglawlcsh:QH301-705.5Semen qualitySperm motilityreproductive and urinary physiologyLiquid Storageliquid storage030219 obstetrics & reproductive medicineMurciano-GranadinaExtenderSperm washingMotilityMitochondrial Activity04 agricultural and veterinary sciencesBiología y Biomedicina / BiologíamotilityDNA fragmentationGeneral Agricultural and Biological SciencesGenetic improvementendocrine systemMotilityShelf lifeSemen ExtendersSemenDNA FragmentationBiologyGeneral Biochemistry Genetics and Molecular BiologyAi (artificial insemination)ArticleAndrology03 medical and health sciencesSemenmedicineU10 Mathematical and statistical methodsgoat spermGeneral Immunology and Microbiologyurogenital systemArtificial insemination0402 animal and dairy scienceGoat Sperm040201 dairy & animal scienceSpermFrozen storagelcsh:Biology (General)
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Construct validity of the anxiety sensitivity index-3 in clinical samples

2012

"Using two clinical samples of patients, the presented studies examined the construct validity of the recently revised Anxiety Sensitivity Index-3 (ASI-3). Confirmatory factor analyses established a clear three-factor structure that corresponds to the postulated subdivision of the construct into correlated somatic, social, and cognitive components. Participants with different primary clinical diagnoses differed from each other on the ASI-3 subscales in theoretically meaningful ways. Specifically, the ASI-3 successfully discriminated patients with anxiety disorders from patients with nonanxiety disorders. Moreover, patients with panic disorder or agoraphobia manifested more somatic concerns …

Malevaliditymental disorderPsychometricspsychische StörungStatistics as TopicdiagnosticFear of negative evaluationCognitionddc:150PsychologySomatoform DisordersApplied Psychologyklinische PsychologieconstructSozialwissenschaften SoziologiePsychological Disorders Mental Health Treatment and PreventionKonstruktanxietyAnxiety DisordersValiditätFaktorenanalyseClinical Psychologypsychische Störungen Behandlung und PräventionAnxietyddc:30010700Femaleclinical psychologymedicine.symptomPsychologyPsychological Testing Psychological Counseling Psychological MethodologyClinical psychologyAdultDepartment Psychologiemedicine.medical_specialtyPsychometricsscale constructionAngstfactor analysisTypologieSensitivity and SpecificityDiagnostikmental disordersSkalenkonstruktionmedicineHumansddc:610psychologische Diagnostik und Beratung psychologische MethodenPsychiatrySocial sciences sociology anthropologyErhebungstechniken und Analysetechniken der SozialwissenschaftenAnalysis of VariancePanic disorderDiscriminant validityReproducibility of ResultsConstruct validitymedicine.diseaseMethods and Techniques of Data Collection and Data Analysis Statistical Methods Computer MethodsPsychologieAnxiety sensitivityInstitut für ErnährungswissenschaftASI-3; Angstsensitivitätsindex; Anxiety Sensitivity IndextypologyCognition DisordersFactor Analysis Statistical10200Agoraphobia
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Different Representation Procedures Originated from Multivariate Temporal Pattern Analysis of the Behavioral Response to Pain in Wistar Rats Tested i…

2019

Temporal pattern analysis is an advanced multivariate technique able to investigate the structure of behavior by unveiling the existence of statistically significant constraints among the interval length separating events in sequence. If on the one hand, such an approach allows investigating the behavioral response to pain in its most intimate and inner features, on the other hand, due to the meaning of the studies on pain, it is of relevant importance that the results utilize intuitive and easily comprehensible ways of representation. The aim of this paper is to show various procedures useful to represent the results originating from the multivariate T-pattern analysis of the behavioral re…

Multivariate statisticsMultivariate analysisPain -- Animal modelsPattern analysisNeurophysiologyT-pattern analysisSettore BIO/09 - FisiologiaArticlemultivariate analyseslcsh:RC321-571medicinepainHot platelcsh:Neurosciences. Biological psychiatry. NeuropsychiatryAnimal behavior -- Statistical methodsmultivariate analyseMorphineGeneral NeuroscienceRepresentation (systemics)T-pattern analysimorphinehot-plateBehavioral responseMultivariate analysisMorphineT-patternPsychologyNeurosciencemedicine.drug
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Extraction of the Muon Signals Recorded with the Surface Detector of the Pierre Auger Observatory Using Recurrent Neural Networks

2021

The Pierre Auger Observatory, at present the largest cosmic-ray observatory ever built, is instrumented with a ground array of 1600 water-Cherenkov detectors, known as the Surface Detector (SD). The SD samples the secondary particle content (mostly photons, electrons, positrons and muons) of extensive air showers initiated by cosmic rays with energies ranging from $10^{17}~$eV up to more than $10^{20}~$eV. Measuring the independent contribution of the muon component to the total registered signal is crucial to enhance the capability of the Observatory to estimate the mass of the cosmic rays on an event-by-event basis. However, with the current design of the SD, it is difficult to straightfo…

PhotonPhysics::Instrumentation and DetectorsAstronomyElectron01 natural sciencesHigh Energy Physics - ExperimentAugerHigh Energy Physics - Experiment (hep-ex)mass [cosmic radiation]surface [detector]Observatory[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]photon: cosmic radiationInstrumentationMathematical PhysicsPhysicsAGASAPhysicsSettore FIS/01 - Fisica SperimentaleDetectorcosmic radiation [photon]Astrophysics::Instrumentation and Methods for AstrophysicsMonte Carlo [numerical calculations]electromagnetic [showers]Augerobservatorycosmic radiation [electron]Analysis and statistical methodsnumerical calculations: Monte CarloAnalysis and statistical methodperformancepositron: cosmic radiationatmosphere [showers]Cherenkov detectordata analysis methodAnalysis and statistical methods; Calibration and fitting methods; Cherenkov detectors; Cluster finding; Large detector systems for particle and astroparticle physics; Pattern recognitionCherenkov counter: waterairneural networkAstrophysics::High Energy Astrophysical Phenomena610FOS: Physical sciencesCosmic raycosmic radiation [positron]cosmic radiation: massCalibration and fitting methodNuclear physicsstatistical analysisPattern recognition0103 physical sciencesshowers: electromagneticddc:530ddc:610High Energy Physics010306 general physicsZenithPierre Auger ObservatoryCalibration and fitting methodscosmic radiation [muon]Muonshowers: atmosphere010308 nuclear & particles physicsdetector: surfacehep-exLarge detector systems for particle and astroparticle physicswater [Cherenkov counter]Cherenkov detectorsCluster findingelectron: cosmic radiationRecurrent neural networkmuon: cosmic radiationLarge detector systems for particle and astroparticle physicExperimental High Energy PhysicsHigh Energy Physics::ExperimentRAIOS CÓSMICOSexperimental results
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Characterisation and mitigation of beam-induced backgrounds observed in the ATLAS detector during the 2011 proton-proton run

2013

This paper presents a summary of beam-induced backgrounds observed in the ATLAS detector and discusses methods to tag and remove background contaminated events in data. Triggerrate based monitoring of beam-related backgrounds is presented. The correlations of backgrounds with machine conditions, such as residual pressure in the beam-pipe, are discussed. Results from dedicated beam-background simulations are shown, and their qualitative agreement with data is evaluated. Data taken during the passage of unpaired, i.e. non-colliding, proton bunches is used to obtain background-enriched data samples. These are used to identify characteristic features of beam-induced backgrounds, which then are …

Physics::Instrumentation and DetectorsAccelerator modelling and simulations; multi-particle dynamics; Analysis and statistical methods; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; single-particle dynamicsPROTON BEAMSMonte Carlo methodsingle-particle dynamics01 natural sciencesaccelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)High Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)MUON DETECTORcluster findingPIXEL DETECTORSNaturvetenskap[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)InstrumentationQCMathematical PhysicsPhysicsLarge Hadron ColliderPattern recognition cluster finding calibration and fitting methodsAccelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)Settore FIS/01 - Fisica SperimentaleObservableATLAScalibration and fitting methodsAccelerator modelling and simulationsCalorimetermedicine.anatomical_structureBunchesAccelerator Modelling and Simulations (Multi-Particle Dynamics Single-Particle Dynamics)Analysis and statistical methodsLHCmulti-particle dynamicsNatural SciencesParticle Physics - ExperimentParticle physicsCiências Naturais::Ciências Físicas530 PhysicsInstrumentationCALORIMETERS:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Nuclear physicssingle-particle dynamics)Atlas (anatomy)Pattern recognition0103 physical sciencesmedicineAccelerator modelling and simulations (multi-particle dynamics single-particle dynamics)High Energy Physicspattern recognition; cluster finding; calibration and fitting methods; single-particle dynamics); analysis and statistical methods; accelerator modelling and simulations (multi-particle dynamics; performance of high energy physics detectorsddc:610010306 general physicsCalibration and fitting methodsScience & Technology010308 nuclear & particles physicsCluster findingFísicaAccelerator modelling and simulations (multi-particle dynamicsAccelerator modelling and simulations (multi-particle dynamics; Analysis and statistical methods; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; single-particle dynamics); Instrumentation; Mathematical PhysicsExperimental High Energy PhysicsPattern recognition; cluster finding; calibration and fitting methods; Performance of High Energy Physics Detectors; Accelerator modelling and simulations (multi-particle dynamics; single-particle dynamics); Analysis and statistical methodsPhysics::Accelerator PhysicsPerformance of High Energy Physics DetectorsEvent (particle physics)
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Dynamics of a quantum particle interacting with a thermal bath and subject to an oscillating asymmetric bistable potential

2012

Exploiting the approach of the Feynman-Vernon influence functional [1] within the framework of the discrete variable representation (DVR) [2], we consider a quantum particle described by the Caldeira-Leggett model [3]. The particle, “moving” in an asymmetric bistable potential and subject to a periodical driving, interacts with a thermal bath of harmonic oscillators. In this conditions we study the dynamics of the particle by analyzing the time evolution of the populations in the DVR. Specifically we focalize on the position eigenstate located in the shallower well, i.e. metastable state, finding a non-monotonic behaviour of the corresponding population as a function of the frequency. Moreo…

Quantum systems with finite Hilbert spaceFluctuation phenomena random processes noise and Brownian motionquantum statistical methodDecoherenceopen systemQuantum systems with finite Hilbert space;Decoherence; open systems; quantum statistical methods;Fluctuation phenomena random processes noise and Brownian motionSettore FIS/03 - Fisica Della Materia
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