Search results for "multivariate"

showing 10 items of 1520 documents

On the calculation of derived variables in the analysis of multivariate responses

1992

AbstractThe multivariate regression of a p × 1 vector Y of random variables on a q × 1 vector X of explanatory variables is considered. It is assumed that linear transformations of the components of Y can be the basis for useful interpretation whereas the components of X have strong individual identity. When p ≥ q a transformation is found to a new q × 1 vector of responses Y∗ such that in the multiple regression of, say, Y1∗ on X, only the coefficient of X1 is nonzero, i.e. such that Y1∗ is conditionally independent of X2, …, Xq, given X1. Some associated inferential procedures are sketched. An illustrative example is described in which the resulting transformation has aided interpretation.

canonical analysisStatistics and ProbabilityMultivariate statisticsPure mathematicsNumerical AnalysisMultivariate analysisBasis (linear algebra)conditional independencederived variableCanonical analysisCombinatoricsgraphical chain modelTransformation (function)multivariate linear modelConditional independenceLinear regressionStatistics Probability and UncertaintyRandom variableMathematicsJournal of Multivariate Analysis
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Reticular Metal-Organic Frameworks for sustainable applications

2023

La presente tesis doctoral se ha realizado mediante compendio de publicaciones en cumplimiento con las normativas establecidas por la Universidad de Valencia, según lo dispuesto en el reglamento ACGUV 266/2011 referente al depósito, evaluación y defensa de tesis doctorales, con la última actualización correspondiente al 31 de Octubre de 2017. El trabajo se encuentra estructurado en tres capitulos principales, seguidos de un capítulo final que engloba las conclusiones obtenidas a partir de los resultados de la investigación, así como los planes y perspectivas para trabajos futuros. El capitulo 1 proporciona un contexto general sobre los materiales abordados en esta tesis: Metal-Organ…

catalysisUNESCO::QUÍMICAwater decontaminationmultivariate MOFs (MTV-MOFs)metal-organic frameworks
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Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics

2015

In the framework of information dynamics, the temporal evolution of coupled systems can be studied by decomposing the predictive information about an assigned target system into amounts quantifying the information stored inside the system and the information transferred to it. While information storage and transfer are computed through the known self-entropy (SE) and transfer entropy (TE), an alternative decomposition evidences the so-called cross entropy (CE) and conditional SE (cSE), quantifying the cross information and internal information of the target system, respectively. This study presents a thorough evaluation of SE, TE, CE and cSE as quantities related to the causal statistical s…

causalityInformation dynamicsTransfer entropyDynamical systems theoryComputationGeneral Physics and Astronomylcsh:AstrophysicsBivariate analysisMultivariate autoregressive processeMachine learningcomputer.software_genreMultivariate autoregressive processesCardiorespiratory interactionsPhysics and Astronomy (all)Systems theoryDynamical systemslcsh:QB460-466Decomposition (computer science)Statistical physicslcsh:ScienceCardiorespiratory interactions; Causality; Dynamical systems; Heart rate variability; Information dynamics; Multivariate autoregressive processes; Transfer entropyHeart rate variabilityMathematicsCardiorespiratory interactions; Causality; Dynamical systems; Heart rate variability; Information dynamics; Multivariate autoregressive processes; Transfer entropy; Physics and Astronomy (all)business.industryCardiorespiratory interactionheart rate variabilitytransfer entropyDynamical systemcardiorespiratory interactionsdynamical systemslcsh:QC1-999CausalityInformation dynamicCross entropySettore ING-INF/06 - Bioingegneria Elettronica E Informaticamultivariate autoregressive processesBenchmark (computing)lcsh:QTransfer entropyArtificial intelligenceinformation dynamicsbusinesscomputerlcsh:PhysicsEntropy
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Relationships between metabolic fluxes and enzyme amino acid composition

2013

AbstractMetabolic fluxes are a key parameter of metabolic pathways being closely related to the kinetic properties of enzymes and could be conditional on their sequence characteristics. This study examines possible relationships between the metabolic fluxes and the amino acid (AA) composition (AAC) for enzymes from the yeast Saccharomyces cerevisiae glycolysis pathway. Metabolic fluxes were quantified by the COPASI tool using the kinetic models of Hynne and Teusink at 25 mM, 50 mM, and 100 mM of external glucose or employing literature data for cognate kinetic or stoichiometric models. The enzyme sequences were taken from the UniProtKB, and the AAC computed by the ExPASy/ProtParam tool. Mul…

chemistry.chemical_classificationGeneral Immunology and MicrobiologyQH301-705.5General NeuroscienceSaccharomyces cerevisiaeExPASyBiologybiology.organism_classificationGeneral Biochemistry Genetics and Molecular BiologyYeastAmino acidMetabolic pathwayEnzymechemistryBiochemistrymultivariate relationshipssaccharomyces cerevisiaeGlycolysisComposition (visual arts)Biology (General)glycolytic enzymesamino acid compositionGeneral Agricultural and Biological Sciencesmetabolic fluxesOpen Life Sciences
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Relationships between kinetic constants and the amino acid composition of enzymes from the yeast Saccharomyces cerevisiae glycolysis pathway

2012

The kinetic models of metabolic pathways represent a system of biochemical reactions in terms of metabolic fluxes and enzyme kinetics. Therefore, the apparent differences of metabolic fluxes might reflect distinctive kinetic characteristics, as well as sequence-dependent properties of the employed enzymes. This study aims to examine possible linkages between kinetic constants and the amino acid (AA) composition (AAC) for enzymes from the yeast Saccharomyces cerevisiae glycolytic pathway. The values of Michaelis-Menten constant (K M), turnover number (k cat), and specificity constant (k sp = k cat/K M) were taken from BRENDA (15, 17, and 16 values, respectively) and protein sequences of nine…

chemistry.chemical_classificationSpecificity constantbiologyResearchSaccharomyces cerevisiaeMichaelis-Menten constantTurnover numberbiology.organism_classificationMichaelis–Menten kineticsGeneral Biochemistry Genetics and Molecular BiologyYeastComputer Science ApplicationsAmino acidSequence-dependent propertiesComputational MathematicsMetabolic pathwayEnzymechemistryBiochemistryGlycolytic enzymesMultivariate relationshipsEnzyme kineticsSpecificity constantEURASIP Journal on Bioinformatics and Systems Biology
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Multivariate statistical analysis of heavy metals and physico-chemical parameters in the groundwater of Karak District, Khyber Pakhtunkhwa, Pakistan

2021

Groundwater heavy metal pollution is a major concern all around the world. For the assessment of heavy metals and physico-chemical characteristics. groundwater samples were collected from different locations of the Karak District, Pakistan. With the help of the global information system device (GIS), groundwater samples were collected and studied from 47 locations. The present study focused on the water table (WT), water source depth (WSD), pH, electrical conductivity (EC), dissolved oxygen (DO), total dissolved solids (TDS), lead (Pb(II)), silver (Ag(I)), iron (Fe(II)) and chromium (Cr(VI)) parameters. Heavy metals were analyzed by the Atomic Absorption Spectrophotometer (AAS). The Pearson…

clusters analysisKhyber pakhtunkhwaScienceQGeneral EngineeringHeavy metalsOceanografi hydrologi och vattenresurserOceanography Hydrology and Water Resourcescorrelations.correlationsgroundwaterEnvironmental scienceMultivariate statisticalWater resource managementheavy metalsGroundwaterProceedings of the Estonian Academy of Sciences
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Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological N…

2020

The framework of information dynamics allows the dissection of the information processed in a network of multiple interacting dynamical systems into meaningful elements of computation that quantify the information generated in a target system, stored in it, transferred to it from one or more source systems, and modified in a synergistic or redundant way. The concepts of information transfer and modification have been recently formulated in the context of linear parametric modeling of vector stochastic processes, linking them to the notion of Granger causality and providing efficient tools for their computation based on the state&ndash

conditional transfer entropyInformation transferlinear predictionDynamical systems theoryComputer scienceState–space modelsGeneral Physics and Astronomylcsh:AstrophysicsNetwork topologycomputer.software_genrenetwork physiology01 natural sciencesArticle03 medical and health sciences0302 clinical medicinepenalized regression techniquelcsh:QB460-4660103 physical sciencesEntropy (information theory)Statistics::Methodologylcsh:Science010306 general physicspartial information decompositionmultivariate time series analysisinformation dynamics; partial information decomposition; entropy; conditional transfer entropy; network physiology; multivariate time series analysis; State–space models; vector autoregressive model; penalized regression techniques; linear predictionState–space modellcsh:QC1-999multivariate time series analysiInformation dynamicData pointpenalized regression techniquesAutoregressive modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaParametric modelOrdinary least squaresvector autoregressive modellcsh:QData mininginformation dynamicsentropycomputerlcsh:Physics030217 neurology & neurosurgery
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Evaluation of the risk factors of asymptomatic vertebral fractures in postmenopausal women with osteopenia at the femoral neck

2016

To identify risk factors of asymptomatic vertebral fracture (aVF) in postmenopausal women with osteopenia at the femoral neck and to evaluate the association between the number of aVFs and the risk of major and hip osteoporotic fracture calculated with the FRAX(®) algorithm.Epidemiological case-series study with data collected transversally.728 postmenopausal women with osteopenia were included: 284 (39.0%) had aVF, of whom 200 (70.4%) had prior fragility fractures (FF). The likelihood of having an osteoporotic fracture in the next 10 years increased significantly with the number of aVF. The percentage of women with height loss, which was assessed as the difference between the greatest heig…

congenital hereditary and neonatal diseases and abnormalitiesmedicine.medical_specialtyFRAXBone density030209 endocrinology & metabolismRisk AssessmentAsymptomaticGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicineBone DensityRisk FactorsEpidemiologymedicineHumanscardiovascular diseases030212 general & internal medicineAgedRetrospective StudiesFemoral neckFemur NeckHip Fracturesbusiness.industryObstetrics and GynecologyRetrospective cohort studyMiddle Agedmedicine.diseaseSurgeryPostmenopauseOsteopeniaBone Diseases Metabolicmedicine.anatomical_structureSpainMultivariate AnalysisSpinal FracturesFemalemedicine.symptombusinessRisk assessmentAlgorithmsOsteoporotic Fractures
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North/south differences among Italian emerging adults regarding criteria deemed important for adulthood and life satisfaction

2016

The main goal of this study was to compare Northern and Southern Italian emerging adult university students, regarding the importance attributed to criteria for adulthood and the levels of life and education satisfaction. Self-report questionnaires were filled by 475 Northern and Southern Italian University students (Age M = 22.91, 76% females, n = 359). Multivariate analysis of variance revealed that Southern emerging adults were more likely to place importance on family capacities, norm compliance, interdependence and role transitions as criteria for achieving adulthood than Northern emerging adults. Regarding gender differences, females were more likely to believe in the importance of no…

criteria for adulthood; education satisfaction; emerging adults; Italy; life satisfaction; transition to adulthoodemerging adultslcsh:BF1-99005 social sciencesLife satisfactionResearch Reports050109 social psychologytransition to adulthoodSettore M-PSI/04 - Psicologia Dello Sviluppo E Psicologia Dell'Educazionelcsh:PsychologyItaly5. Gender equalityMultivariate analysis of variancecriteria for adulthood0501 psychology and cognitive scienceseducation satisfactionNorm (social)PsychologySettore M-PSI/05 - Psicologia Socialelife satisfactionGeneral Psychologyemerging adult050104 developmental & child psychologyDemographyEurope’s Journal of Psychology
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A new approach for clustering of effects in quantile regression

2017

In this paper we aim at nding similarities among the coefficients from a multivariate regression. Using a quantile regression coefficients modeling, the effect of each covariate, given a response (also multivariate) is a curve in the multidimensional space of the percentiles. Collecting all the curves, describing the effects of each covariate on each response variable, we could be able to assess if only one or more covariates have same effects on different responses.

curves clustering; quantile regression coefficients modeling; multivariate analysis; functional datacurves clusteringmultivariate analysiSettore SECS-S/01 - Statisticaquantile regression coefficients modelingfunctional data
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