Search results for "multivariate"

showing 10 items of 1520 documents

Outlier analysis and principal component analysis to detect fatigue cracks in waveguides

2009

Ultrasonic Guided Waves (UGWs) are a useful tool in structural health monitoring (SHM) applications that can benefit from built-in transduction, moderately large inspection ranges and high sensitivity to small flaws. This paper describes a SHM method based on UGWs, discrete wavelet transform (DWT), outlier analysis and principal component analysis (PCA) able to detect and quantify the onset and propagation of fatigue cracks in structural waveguides. The method combines the advantages of guided wave signals processed through the DWT with the outcomes of selecting defectsensitive features to perform a multivariate diagnosis of damage. The framework presented in this paper is applied to the de…

Discrete wavelet transformMultivariate statisticsMultivariate analysisGuided wave testingComputer scienceAcousticsUltrasonic testingWavelet transformOutlier analysisprincipal component analysis fatigue cracks waveguidesPrincipal component analysisOutlierUltrasonic sensorStructural health monitoringSettore ICAR/08 - Scienza Delle Costruzioni
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A Mesh-free Particle Method for Transient Full-wave Simulation

2007

A mesh-free particle method is presented for electromagnetic (EM) transient simulation. The basic idea is to obtain numerical solutions for the partial differential equations describing the EM problem in time domain, by using a set of particles, considered as spatial interpolation points of the field variables, arbitrarily placed in the problem domain and by avoiding the use of a regular mesh. Irregular problems geometry with diffused non-homogeneous media can be modeled only with an initial set of arbitrarily distributed particles. The time dependence is accounted for with an explicit finite difference scheme. Moreover the particle discretization can be improved during the process time ste…

DiscretizationComputational complexity theoryElectromagnetic (EM) transient analysiComputer scienceNumerical methodMultivariate interpolationReduction (complexity)Settore MAT/08 - Analisi NumericaElectromagnetic waveFull waveTime domainElectrical and Electronic EngineeringPhysicsPartial differential equationMathematical analysisFinite difference methodComputer simulationPartial differential equationsMesh freeInterpolationElectronic Optical and Magnetic MaterialsComputational complexitySmoothed particle interpolationSettore ING-IND/31 - ElettrotecnicaParticleComputational electromagneticsTransient (oscillation)Mesh-free particle methodInterpolation2006 12th Biennial IEEE Conference on Electromagnetic Field Computation
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Air conditioning and heat-related mortality: a multi-country longitudinal study

2020

Background: Air conditioning has been proposed as one of the key factors explaining reductions of heat-related mortality risks observed in the last decades. However, direct evidence is still limited. Methods: We used a multi-country, multi-city, longitudinal design to quantify the independent role of air conditioning in reported attenuation in risk. We collected daily time series of mortality, mean temperature, and yearly air conditioning prevalence for 311 locations in Canada, Japan, Spain, and the USA between 1972 and 2009. For each city and sub-period, we fitted a quasi-Poisson regression combined with distributed lag non-linear models to estimate summer-only temperature–mortality associ…

Distributed lagCanadaLongitudinal studyMultivariate statisticsHot TemperatureEpidemiologyPoison control01 natural sciences1117 Public Health and Health Services010104 statistics & probability03 medical and health sciences0302 clinical medicineJapanHumansAir ConditioningLongitudinal Studies030212 general & internal medicineMortality0101 mathematicsMean radiant temperaturebusiness.industry0104 StatisticsRegressionSpainAir conditioningRelative riskEnvironmental sciencebusinessDemographyEpidemiology
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Predictive factors for sustained virological response after treatment with pegylated interferon α-2a and ribavirin in patients infected with HCV geno…

2014

BackgroundPrevious trials have often defined genotype 2 and 3 patients as an "easy to treat" group and guidelines recommend similar management.AimsThe present study looks for differences between the two genotypes and analyzes predictive factors for SVR.MethodsProspective, community-based cohort study involving 421 physicians throughout Germany. The analysis includes 2,347 patients with untreated chronic HCV genotype 2 (n = 391) and 3 (n = 1,956) infection treated with PEG-IFN α-2a plus ribavirin between August 2007 and July 2012.ResultsWhen compared with genotype 2 patients, those with genotype 3 were younger, had a shorter duration of infection, lower values of total cholesterol, LDL chole…

DrugAdultMalemedicine.medical_specialtyMultivariate analysisGenotypeGastroenterology and hepatologyHepacivirusmedia_common.quotation_subjectScienceHepacivirusGastroenterologyCohort Studieschemistry.chemical_compoundInternal medicineGermanyAlcohols Cholesterol; Dose prediction methods; Drug therapy; Fibrosis; Multivariate analysis; Physicians; Treatment guidelinesGenotypemedicineHumansLiver diseasesmedia_commonMedicine and health sciencesMultidisciplinarybiologybusiness.industryRibavirinQRHepatitis CMiddle Agedbiology.organism_classificationmedicine.diseaseHepatitis C3. Good healthClinical trialInfectious hepatitischemistryImmunologyMedicineFemalebusinessCohort studyResearch ArticlePloS one
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Drug-drug interactions in a cohort of hospitalized elderly patients

2013

Purpose The aim of this study is to assess the prevalence of patients exposed to potentially severe drug–drug interactions (DDIs) at hospital admission and discharge and the related risk of in-hospital mortality and adverse clinical events, readmission, and all-cause mortality at 3months. Methods This cross-sectional, prospective study was held in 70 Italian internal medicine and geriatric wards. Potentially severe DDIs at hospital admission and discharge; risk of in-hospital mortality and of adverse clinical events, readmission, and all-cause mortality at 3-month follow-up. Results Among 2712 patients aged 65years or older recruited at hospital admission, 1642 (60.5%) were exposed to at le…

Drugmedicine.medical_specialtyPediatricsMultivariate analysisEpidemiologybusiness.industryClinical eventsmedia_common.quotation_subjectOdds ratioPharmacoepidemiologyConfidence intervalEmergency medicineCohortMedicinePharmacology (medical)businessProspective cohort studymedia_commonPharmacoepidemiology and Drug Safety
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Early alterations of the behavioural structure of mice affected by Duchenne muscular dystrophy and tested in open-field

2020

Present study has been carried out to assess whether early alterations of the behavioural structure may be detected in mice affected by Duchenne muscular dystrophy (DMD). To this purpose, both quantitative and T-pattern analysis (TPA) were used to analyse the behaviour of two groups of male, two months old mice, 18 MDX and 18 normal as control, tested in an open-field apparatus. T-pattern analysis is a multivariate technique able to reveal hidden structural features of behaviour and, in particular, its temporal characteristics. As to quantitative analyses, mean durations evidenced a significant increase of Walking, Modified Climbing and Rearing and a significant reduction of Immobile-Sniffi…

Duchenne muscular dystrophyMalemdx mouseDuchenne muscular dystrophyCombined usePhysiologyBiologySettore BIO/09 - FisiologiaOpen fieldMice03 medical and health sciencesBehavioral Neuroscience0302 clinical medicineSniffingDMDImage Processing Computer-AssistedmedicineAnimalsMuscle Skeletal030304 developmental biologyBehavioural repertoire0303 health sciencesBehavior AnimalT-pattern analysimedicine.diseaseMice Inbred C57BLMuscular Dystrophy DuchenneMDX mouseDisease Models AnimalClimbingMultivariate AnalysisMice Inbred mdxTPALicking030217 neurology & neurosurgeryBehavioural Brain Research
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A CLASS OF MULTIVARIATE TRANSFORMED-EXPONENTIAL DISTRIBUTIONS

2013

In finance it is commonly accepted that heavy-tailed distributions are appropriate for modelling financial asset return variables and part of the financial literature has recently focused on them. Much less attention has been dedicated to the construction of joint models of asset returns unable to describe an adequate dependence structure between all these variables. In this paper we propose a procedure for constructing multivariate distributions with given heterogeneous heavy-tailed marginal distributions as a possible (under certain conditions) alternative to the copula approach. The procedure bases on the marginal transformation method and, for given plausible specifications of the margi…

EXPONENTIAL DISTRIBUTIONS Multivariate DISTRIBUTIONSSettore SECS-S/01 - Statistica
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Small Mammals in Forests of Romania: Habitat Type Use and Additive Diversity Partitioning

2021

Small mammals are key components of forest ecosystems, playing vital roles for numerous groups of forest organisms: they exert bottom-up and top-down regulatory effects on vertebrate and invertebrate populations, respectively

EcologyfungiForest managementBeta diversityForestryBiologyrarefactionshrewsSpatial heterogeneityalpha beta and delta diversitiesHabitatmultivariate ordinationrodentsForest ecologyniche widthRarefaction (ecology)Alpha diversitySpecies richnesscommunity compositionQK900-989Plant ecologyhuman activitiesForests
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The effectiveness of rural versus urban nonprofit organisations in the Democratic Republic of Congo

2017

The Democratic Republic of Congo (DRC) is a country with high natural resources, but it has suffered from decades of civil wars and social turmoil, being heavily aid-dependent. In the DRC, several Nonprofit Organisations (NPOs) are major players in fighting poverty and enhancing welfare. This research aims to analyse the effectiveness of small NPOs in improving poor peoples’ lives through health, education, and economic activities. Two NPOs working in the DRC, one in a rural and the other in an urban area, are compared by researching the aid sites and surveying 201 households (aid beneficiaries). Our case observations and the survey results facilitate analysing the mission accomplishment, e…

Economic growthMultivariate analysis050204 development studiesmedia_common.quotation_subjectKongon demokraattinen tasavaltamission accomplishmentDevelopmentUrban areaPolitical sciencePerception0502 economics and businessDevelopment economics050602 political science & public administrationta512media_commongeographyyleishyödylliset yhteisötgeography.geographical_feature_categorytilivelvollisuusPoverty05 social sciencestuloksellisuushealthDemocratic Republic of CongovaikutusNatural resourceDemocracy0506 political sciencekoulutusAccountabilitynon-profict organisationsimpactWelfareterveysThird World Quarterly
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Weak versus strong dominance of shrinkage estimators

2021

We consider the estimation of the mean of a multivariate normal distribution with known variance. Most studies consider the risk of competing estimators, that is the trace of the mean squared error matrix. In contrast we consider the whole mean squared error matrix, in particular its eigenvalues. We prove that there are only two distinct eigenvalues and apply our findings to the James–Stein and the Thompson class of estimators. It turns out that the famous Stein paradox is no longer a paradox when we consider the whole mean squared error matrix rather than only its trace.

Economics and EconometricsClass (set theory)Trace (linear algebra)James–SteinEconomics Econometrics and Finance (miscellaneous)James–Stein estimatorContrast (statistics)EstimatorSettore SECS-P/05 - EconometriaMultivariate normal distributionJames-SteinVariance (accounting)DevelopmentC51Dominance (ethology)C13Applied mathematicsBusiness and International ManagementShrinkageEigenvalues and eigenvectorsDominanceMathematics
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