Search results for "Linear regression"

showing 10 items of 375 documents

Multifractal electronic wave functions in disordered systems

1992

Abstract To investigate the electronic states in disordered samples we diagonalize very large secular matrices corresponding to the Anderson Hamiltonian. The resulting probability density of single electronic eigenstates in 1-, 2-, and 3-dimensional samples is analysed by means of a box-counting procedure. By linear regression we obtain the Lipschitz-Holder exponents and the corresponding singularity spectrum, typical for a multifractal set in each case. By means of a Legendre transformation the mass exponents and the generalized dimensions are derived. Consequences for spectroscopic intensities and transport properties are discussed.

PhysicsCondensed matter physicsBiophysicsProbability density functionGeneral ChemistryMultifractal systemCondensed Matter PhysicsBiochemistryAtomic and Molecular Physics and OpticsLegendre transformationsymbols.namesakeLinear regressionsymbolsSingularity spectrumWave functionHamiltonian (quantum mechanics)Eigenvalues and eigenvectorsMathematical physicsJournal of Luminescence
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Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data

2018

The colored dissolved organic matter (CDOM) variable is the standard measure of humic substance in waters optics. CDOM is optically characterized by its spectral absorption coefficient, a C D O M at at reference wavelength (e.g., ≈ 440 nm). Retrieval of CDOM is traditionally done using bio-optical models. As an alternative, this paper presents a comparison of five machine learning methods applied to Sentinel-2 and Sentinel-3 simulated reflectance ( R r s ) data for the retrieval of CDOM: regularized linear regression (RLR), random forest regression (RFR), kernel ridge regression (KRR), Gaussian process regression (GPR) and support vector machines (SVR). Two different datasets of radiative t…

Polynomial regression010504 meteorology & atmospheric sciencesArtificial neural networkbusiness.industry0211 other engineering and technologiesta117102 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesremote sensing; CDOM; optically complex waters; linear regression; machine learning; Sentinel 2; Sentinel 3RegressionRandom forestSupport vector machineColored dissolved organic matterKrigingLinear regressionGeneral Earth and Planetary SciencesArtificial intelligencebusinesscomputer021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote Sensing
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Relationship between UVB and broadband solar radiation in Spain

2014

The daily values of UVB irradiation (290–315 nm), IUVB, and the broadband total irradiation (300–2800 nm), IT, measured on a horizontal plane have been correlated for the period 2000–2008 at 16 measurement sites in Spain. The results have been compared with the daily experimental values registered at the same sites during the period 2009–2011. The coefficients of determination R2 obtained by applying a linear regression are higher than 0.88 for all sites and increase to 0.94 when using a quadratic regression. When all data are considered together, the values of R2 are 0.91 and 0.97 for the linear and quadratic regressions, respectively. Three different clearness indices, which are dimension…

Polynomial regressionAtmospheric ScienceCoefficient of determinationMean squared errorMeteorologyClimatologyLinear regressionSolar zenith angleRadiationAtmospheric sciencesLatitudeMathematicsDimensionless quantityInternational Journal of Climatology
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Permutation Tests in Linear Regression

2015

Exact permutation tests are available only in rather simple linear models. The problem is that, although standard assumptions allow permuting the errors of the model, we cannot permute them in practice, because they are unobservable. Nevertheless, the residuals of the model can be permuted. A proof is given here which shows that it is possible to approximate the unobservable permutation distribution where the true errors are permuted by permuting the residuals. It is shown that approximation holds asymptotically and almost surely for certain quadratic statistics as well as for statistics which are expressible as the maximum of appropriate linear functions. The result is applied to testing t…

Polynomial regressionGeneral linear modelHeteroscedasticityPermutationMathematics::CombinatoricsLinear predictor functionStatisticsLinear regressionLinear modelApplied mathematicsSegmented regressionMathematics
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Polynomial Regression and Measurement Error

2020

Many of the phenomena of interest in information systems (IS) research are nonlinear, and it has consequently been recognized that by applying linear statistical models (e.g., linear regression), we may ignore important aspects of these phenomena. To address this issue, IS researchers are increasingly applying nonlinear models to their datasets. One popular analytical technique for the modeling and analysis of nonlinear relationships is polynomial regression, which in its simplest form fits a "U-shaped" curve to the data. However, the use of polynomial regression can be problematic when the independent variables are contaminated with measurement error, and the implications of error can be m…

PolynomialComputer Networks and CommunicationsComputer sciencemedia_common.quotation_subjectpiilevät muuttujatepälineaariset mallitcomputer.software_genrelineaariset mallitManagement Information Systems0504 sociology0502 economics and businessLinear regressionattenuationtietojärjestelmätmedia_commonPolynomial regressionlatent variablesObservational errorVariablesmittaus05 social sciencesLinear modelmuuttujat050401 social sciences methodsStatistical modelerrorNonlinear systemmittausvirheetpolynomial regressionnonlinear SEMmeasurementData miningcomputer050203 business & managementACM SIGMIS Database: the DATABASE for Advances in Information Systems
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Working Alliance Inventory applied to Virtual and Augmented Reality (WAI-VAR): Psychometrics and Therapeutic Outcomes

2015

This study examines the psychometric properties of the Working Alliance Inventory-Short (WAI-S) adaptation to Virtual Reality (VR) and Augmented Reality (AR) therapies (WAI-VAR). The relationship between the therapeutic alliance with VR and AR and clinically significant change (CSC) is also explored. Seventy-five patients took part in this study (74.7% women, Mage= 34.41). Fear of flying and adjustment disorder patients received VR therapy, and cockroach phobia patients received AR therapy. Psychometric properties, CSC, one-way ANOVA, Spearman’s Correlations and Multiple Regression were calculated. The WAI-VAR showed a unidimensional structure, high internal consistency and adequate converg…

PsychometricsPsychometricsAdjustment disorderslcsh:BF1-990Clinically Significant changeAugmented realityVirtual realityBioinformaticsVirtual realityFear of flyingCorrelationLinear regressionmedicinePsychologyGeneral PsychologyOriginal ResearchAllianceClinically significant changemedicine.diseaseaugmented realitylcsh:PsychologyConvergent validityvirtual realityAugmented realityPsychologyClinical psychologyFrontiers in Psychology
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UTILIZATION OF SOCIAL MEDIA AND ENTREPRENEUR KNOWLEDGE ON ENTREPRENEUR INTEREST STUDENT OF STIE PEMUDA SURABAYA

2021

This study aims to analyze the influence of the use of social media and entrepreneurial knowledge on the entrepreneurial interest of STIE Pemuda students both partially and simultaneously. This research is a descriptive quantitative research. The sample used was 100 students who had taken entrepreneurship courses. The data analysis method uses multiple linear regression analysis techniques.                     The results showed that partially the use of social media and entrepreneurial knowledge had a positive and significant effect on the entrepreneurial interest of STIE Pemuda Surabaya students. Simultaneously that the use of social media and entrepreneurial knowledge has a positive and …

Pulmonary and Respiratory MedicineEntrepreneurshipPediatrics Perinatology and Child HealthMathematics educationMultiple linear regression analysisSocial mediaSample (statistics)PsychologyDescriptive quantitativeAnalysis methodInternational Journal of Global Accounting, Management, Education, and Entrepreneurship
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Preliminary development of a questionnaire to measure the extra-pulmonary symptoms of severe asthma

2021

Abstract Background Research into the effects of asthma treatments on the extra-pulmonary symptoms of severe asthma is limited by the absence of a suitable questionnaire. The aim was to create a questionnaire suitable for intervention studies by selecting symptoms that are statistically associated with asthma pathology and therefore may improve when pathology is reduced. Methods Patients attending a specialist asthma clinic completed the 65-item General Symptom Questionnaire (GSQ-65), a questionnaire validated for assessing symptoms of people with multiple medically unexplained symptoms. Lung function (FEV1%) and cumulative oral corticosteroids (OCS) calculated from maintenance dose plus ex…

Pulmonary and Respiratory MedicineMalemedicine.medical_specialtyFibromyalgiaSevere asthmaExtra pulmonaryDiseases of the respiratory systemFibromyalgiaInternal medicineAsthma controlForced Expiratory VolumeSurveys and QuestionnairesmedicineHealth Status IndicatorsHumansAsthma Symptoms Fibromyalgia Questionnaire Patient reported outcomesPatient reported outcomesLung functionAsthmaAgedAged 80 and overRC705-779business.industryMaintenance doseQuestionnaireextra-pulmonary symptomsAsthma clinicMiddle Agedmedicine.diseasesparse regressionAsthmarespiratory tract diseasesSymptomslinear regressionFemaleSymptom AssessmentbusinessResearch Article
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Monitoring of chicken meat freshness by means of a colorimetric sensor array

2012

A new optoelectronic nose to monitor chicken meat ageing has been developed. It is based on 16 pigments prepared by the incorporation of different dyes (pH indicators, Lewis acids, hydrogenbonding derivatives, selective probes and natural dyes) into inorganic materials (UVM-7, silica and alumina). The colour changes of the sensor array were characteristic of chicken ageing in a modi¿ed packaging atmosphere (30% CO2¿70% N2). The chromogenic array data were processed with qualitative (PCA) and quantitative (PLS) tools. The PCA statistical analysis showed a high degree of dispersion, with nine dimensions required to explain 95% of variance. Despite this high dimensionality, a tridimensional re…

Quality ControlINGENIERIA DE LA CONSTRUCCIONMeatTime FactorsMaterials scienceAnalytical chemistryColorimetric sensor arrayBiochemistryAnalytical ChemistryQUIMICA ORGANICASensor arrayLinear regressionQUIMICA ANALITICAElectrochemistryAnimalsEnvironmental ChemistryStatistical analysisLeast-Squares AnalysisPROYECTOS DE INGENIERIASpectroscopyPrincipal Component AnalysisPigmentationChromogenicQUIMICA INORGANICAPrincipal component analysisColorimetryIndicators and ReagentsInorganic materialsHigh dimensionalityBiological systemChickensFood Analysis
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Biopartitioning micellar chromatoraphy to predict blood to lung, blood to liver, blood to fat and blood to skin partition coefficients of drugs

2009

[EN] Biopartitioning micellar chromatography (BMC), a mode of micellar liquid chromatography that uses micellar mobile phases of Brij35 in adequate experimental conditions, has demonstrated to be useful in mimicking the drug partitioning process into biological systems. In this paper, the usefulness of BMC for predicting the partition coefficients from blood to lung, blood to liver. blood to fat and blood to skin is demonstrated. PLS2 and multiple linear regression (MLR) models based on BMC retention data are proposed and compared with other ones reported in bibliography. The proposed models present better or similar descriptive and predictive capability. (C) 2008 Elsevier B.V. All rights r…

Quantitative structure–activity relationshipBlood to skinQuantitative Structure-Activity RelationshipPredictive capabilityPartition coefficientsBiochemistryAnalytical ChemistryPharmacokineticsBlood to lungLinear regressionQUIMICA ANALITICAmedicineAnimalsHumansEnvironmental ChemistryPharmacokineticsTissue DistributionLungMicellesSpectroscopySkinLungChromatographyChemistryComputational BiologyChromatography liquidBiopartitioning micellar chromatographyRatsPartition coefficientmedicine.anatomical_structureAdipose TissueLiverPharmaceutical PreparationsMicellar liquid chromatographyLinear ModelsBlood to fatRabbitsChromatography LiquidBlood to liver
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