Search results for "variance"

showing 10 items of 2030 documents

Comparison of canonical variate analysis and principal component analysis on 422 descriptive sensory studies

2015

International audience; Although Principal Component Analysis (PCA) of product mean scores is most often used to generate a product map from sensory profiling data, it does not take into account variance of product mean scores due to individual variability. Canonical Variate Analysis (CVA) of the product effect in the two-way (product and subject) multivariate ANOVA model is the natural extension of the classical univariate approach consisting of ANOVAs of every attribute. CVA generates successive components maximizing the ANOVA F-criterion. Thus, CVA is theoretically more adapted than PCA to represent sensory data. However, CVA requires a matrix inversion which can result in computing inst…

Multivariate statisticsCVAPCANutrition and DieteticsComputer scienceUnivariateSenso BaseSensory systemCovarianceMeta-analysisStimulus modalityStatisticsPrincipal component analysis[SDV.IDA]Life Sciences [q-bio]/Food engineeringProduct topology[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringAnalysis of varianceFood Science
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Multivariate SPC of a sequencing batch reactor for wastewater treatment

2007

Data from a sequencing batch reactor (SBR) operated for enhanced biological phosphorus removal from wastewater have been analysed in order to propose an efficient MSPC scheme of the process. Different multivariate bilinear approaches have been applied and compared in terms of their capabilities for on-line and off-line fault detection and diagnosis. The typical three-way data structure from a batch process was unfolded batch-wise and variable-wise. In the latter case, two models were built: with (AT) and without (WKFH) removing the main non-linear behaviour of the process data. Since the process consists of several stages, the monitoring strategies tested include: one model for all stages a…

Multivariate statisticsComputer sciencebusiness.industryProcess Chemistry and TechnologyProcess (computing)Bilinear interpolationSequencing batch reactorCovarianceData structureFault detection and isolationComputer Science ApplicationsAnalytical ChemistryBatch processingProcess engineeringbusinessSpectroscopySoftwareChemometrics and Intelligent Laboratory Systems
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Stochastic Nonlinear Time Series Forecasting Using Time-Delay Reservoir Computers: Performance and Universality

2014

International audience; Reservoir computing is a recently introduced machine learning paradigm that has already shown excellent performances in the processing of empirical data. We study a particular kind of reservoir computers called time-delay reservoirs that are constructed out of the sampling of the solution of a time-delay diFFerential equation and show their good performance in the forecasting of the conditional covariances associated to multivariate discrete-time nonlinear stochastic processes of VEC-GARCH type as well as in the prediction of factual daily market realized volatilities computed with intraday quotes, using as training input daily log-return series of moderate size. We …

Multivariate statisticsMathematical optimizationTime FactorsRealized varianceDifferential equationComputer scienceCognitive NeuroscienceMathematicsofComputing_NUMERICALANALYSIS02 engineering and technologyComputer Communication NetworksArtificial Intelligence0502 economics and business0202 electrical engineering electronic engineering information engineeringHumansTime seriesSimulation050205 econometrics Stochastic Processes[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Series (mathematics)Artificial neural networkComputersStochastic process05 social sciencesReservoir computingSampling (statistics)Universality (dynamical systems)Nonlinear systemNonlinear DynamicsData Interpretation Statistical020201 artificial intelligence & image processingNeural Networks ComputerForecastingSSRN Electronic Journal
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Statistical Techniques for Validation of Simulation and Analytic Stochastic Models

2014

In this paper, we consider the problem of statistical validation of multivariate stationary response simulation and analytic stochastic models of observed systems (say, transportation or service systems), which have p response variables. The problem is reduced to testing the equality of the mean vectors for two multivariate normal populations. Without assuming equality of the covariance matrices, it is referred to as the Behrens–Fisher problem. The main purpose of this paper is to bring to the attention of applied researchers the satisfactory tests that can be used for testing the equality of two normal mean vectors when the population covariance matrices are unknown and arbitrary. To illus…

Multivariate statisticsService (systems architecture)education.field_of_studyStochastic modellingStatistical validationPopulationApplied mathematicsMultivariate normal distributionCovarianceeducationStatistical hypothesis testingMathematics
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The effect of genetic robustness on evolvability in digital organisms

2008

Abstract Background Recent work has revealed that many biological systems keep functioning in the face of mutations and therefore can be considered genetically robust. However, several issues related to robustness remain poorly understood, such as its implications for evolvability (the ability to produce adaptive evolutionary innovations). Results Here, we use the Avida digital evolution platform to explore the effects of genetic robustness on evolvability. First, we obtained digital organisms with varying levels of robustness by evolving them under combinations of mutation rates and population sizes previously shown to select for different levels of robustness. Then, we assessed the abilit…

Mutation rateGenetic robustnessDigital organismsGenotypeEvolutionUNESCO::CIENCIAS DE LA VIDA::Otras especialidades de la biologíaPopulationAdaptation BiologicalEvolutionary innovationsBiologyEvolution MolecularQH359-425Computer SimulationSelection GeneticeducationEcology Evolution Behavior and Systematicseducation.field_of_studyGenetic diversityAnalysis of VarianceModels GeneticRobustness (evolution)EvolvabilityGenetic robustness; Digital organisms; Evolutionary innovationsGenetics PopulationPhenotypeEvolutionary biologyMutationTraitRna foldingAvida:CIENCIAS DE LA VIDA::Otras especialidades de la biología [UNESCO]Research ArticleBMC Evolutionary Biology
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High myopic patients with and without foveoschisis: morphological and functional characteristics.

2020

Purpose: Myopic foveoschisis (MF) is characterized by the splitting of the retinal layers in the fovea of patients with high myopia (HM). MF may progress into foveal detachment or macular hole formation with consequent loss of central vision. The aim of this study is to investigate morphological and functional changes of the macular region in myopic subjects with and without foveoschisis. Design: Observational, cross-sectional, comparative study. Methods: Forty-eight patients with HM and 24 healthy controls were evaluated by spectral domain-optical coherence tomography (SD-OCT), multifocal electroretinography (mfERG) and microperimetry (MP-1) tests to assess macular thickness, functionality…

Myopic foveoschisisMalemedicine.medical_specialtyFovea Centralisgenetic structuresRetinoschisisVisual AcuityRetinoschisisFoveoschisisRetina03 medical and health scienceschemistry.chemical_compound0302 clinical medicinePhysiology (medical)OphthalmologyHigh myopiaVitrectomyPost-hoc analysismedicineChi-square testElectroretinographyHumansMacular holePathological myopiabusiness.industryMultifocal electroretinography (mfERG)RetinalMiddle Agedmedicine.diseaseRetinal Perforationseye diseasesSensory SystemsSpectral domain-optical coherence tomography (SD-OCT)high myopia; microperimetry (MP-1); multifocal electroretinography (mfERG); myopic foveoschisis; pathological myopia; retinoschisis; spectral domain-optical coherence tomography (SD-OCT)OphthalmologyCross-Sectional StudieschemistryMyopia Degenerative030221 ophthalmology & optometryMicroperimetry (MP-1)Visual Field TestsFemalesense organsAnalysis of varianceVisual FieldsbusinessMicroperimetry030217 neurology & neurosurgeryTomography Optical CoherenceDocumenta ophthalmologica. Advances in ophthalmology
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Beta-amyloid monomers are neuroprotective

2009

The 42-aa-long β-amyloid protein—Aβ1-42—is thought to play a central role in the pathogenesis of Alzheimer's disease (AD) (Walsh and Selkoe, 2007). Data from AD brain (Shankar et al., 2008), transgenic APP (amyloid precursor protein)-overexpressing mice (Lesné et al., 2006), and neuronal cultures treated with synthetic Aβ peptides (Lambert et al., 1998) indicate that self-association of Aβ1-42monomers into soluble oligomers is required for neurotoxicity. The function of monomeric Aβ1-42is unknown. The evidence that Aβ1-42is present in the brain and CSF of normal individuals suggests that the peptide is physiologically active (Shoji, 2002). Here we show that synthetic Aβ1-42monomers support …

N-MethylaspartateStimulationPeptideNeuroprotectionNeuro-degenerative diseasePathogenesismental disordersNitrilesmedicineAmyloid precursor proteinButadienesExcitatory Amino Acid AgonistsAnimalsEnzyme InhibitorsReceptorCells CulturedPodophyllotoxinchemistry.chemical_classificationCerebral CortexNeuronsAnalysis of VarianceAmyloid beta-PeptidesbiologyCell DeathDose-Response Relationship DrugGeneral NeuroscienceNeurodegenerationβ-Amyloid proteinNeurotoxicityself-assemblyTyrphostinsmedicine.diseaseEmbryo MammalianPeptide FragmentsCell biologyRatsNeuroprotective Agentschemistrybiology.proteinBrief CommunicationsNeuroscienceβ-Amyloid protein; Neuro-degenerative diseases; self-assembly
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The effects of glutamate receptor antagonists on cerebellar granule cell survival and development.

2007

N-Methyl-d-aspartate (NMDA) receptor stimulation promotes neuronal survival and differentiation under both in vitro and in vivo conditions. We studied the effects of various NMDA receptor antagonists acting at different NMDA receptor binding sites and non-NMDA receptor antagonists on the development and survival of cerebellar granule cell (CGC) culture. Only three of the drugs tested induced neurotoxicity-MK-801 (non-competitive NMDA channel blocking antagonist), ifenprodil (an antagonist of the NR2B site and polyamine site of the NMDA receptor) and L-701.324 (full antagonist at glycine site), while CGP-37849 (a competitive NMDA antagonist), (+)-HA-966 (a partial agonist of the glycine site…

N-MethylaspartateTime FactorsNeuriteCell SurvivalGlutamic AcidTetrazolium SaltsAMPA receptorPharmacologyBiologyToxicologyNeuroprotectionchemistry.chemical_compoundCerebellumIfenprodilExcitatory Amino Acid AgonistsIn Situ Nick-End LabelingAnimalsDrug InteractionsRats WistarCells CulturedNeuronsAnalysis of VarianceCell DeathDose-Response Relationship DrugGeneral NeuroscienceGlutamic acidRatsThiazolesnervous systemchemistryBiochemistryAnimals NewbornCompetitive antagonistNMDA receptorNBQXExcitatory Amino Acid AntagonistsNeurotoxicology
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Evolution of worldwide stock markets, correlation structure and correlation based graphs

2011

We investigate the daily correlation present among market indices of stock exchanges located all over the world in the time period Jan 1996 - Jul 2009. We discover that the correlation among market indices presents both a fast and a slow dynamics. The slow dynamics reflects the development and consolidation of globalization. The fast dynamics is associated with critical events that originate in a specific country or region of the world and rapidly affect the global system. We provide evidence that the short term timescale of correlation among market indices is less than 3 trading months (about 60 trading days). The average values of the non diagonal elements of the correlation matrix, corre…

NETWORK STRUCTUREPhysics - Physics and SocietyStatistical Finance (q-fin.ST)CROSS-CORRELATIONSCovariance matrixINDEXESFOS: Physical sciencesQuantitative Finance - Statistical FinanceScale (descriptive set theory)Physics and Society (physics.soc-ph)Mutual informationNOISEFOS: Economics and businessCorrelationMINIMUM SPANNING-TREESDYNAMIC ASSET TREESStock exchangeOrder (exchange)EconometricsEQUITY MARKETSMATRICESStock (geology)Eigenvalues and eigenvectorsMathematics
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Association between biomarkers of inflammation and left ventricular hypertrophy in moderate chronic kidney disease.

2007

Aims: Left ventricular hyper- trophy (LVH) is a predictor for cardiovascu- lar mortality, and it is considered to be a surro- gate marker of preclinical cardiovascular dis- ease. This study aimed at evaluating whether fetuin-A plasma levels are decreased in pa- tients with moderate chronic kidney disease (CKD) and their linkage to plasma concentra- tions of hs-C-reactive protein (CRP), cardio- trophyn-1 (CT-1), tumor necrosis factor- (TNF-), propeptide of collagen Type I (PIP) and to LVH. Material and methods: We enrolled 64 moderate CKD and 55 essential hypertensives (EH) with normal renal func- tion as controls. All the patients underwent an echocardiographic examination; plasma sam- ples…

NephrologyAdultMalePhosphopeptidesmedicine.medical_specialtyInflammationEnzyme-Linked Immunosorbent AssayLeft ventricular hypertrophyMuscle hypertrophyinflammation left ventricular hypertrophy chronic kidney diseaseStatistical significanceInternal medicineMedicineHumansMass indexcardiovascular diseasesInflammationAnalysis of Variancebusiness.industryTumor Necrosis Factor-alphaCase-control studyGeneral MedicineMiddle Agedmedicine.diseaseEndocrinologyC-Reactive ProteinNephrologyEchocardiographyCase-Control StudiesCardiologyCytokinesKidney Failure ChronicRegression AnalysisFemaleHypertrophy Left Ventricularalpha-Fetoproteinsmedicine.symptombusinessBiomarkersProcollagenKidney diseaseClinical nephrology
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