Search results for " Least squares"

showing 10 items of 223 documents

An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning

2015

Physically-based radiative transfer models (RTMs) help in understanding the processes occurring on the Earth’s surface and their interactions with vegetation and atmosphere. When it comes to studying vegetation properties, RTMs allows us to study light interception by plant canopies and are used in the retrieval of biophysical variables through model inversion. However, advanced RTMs can take a long computational time, which makes them unfeasible in many real applications. To overcome this problem, it has been proposed to substitute RTMs through so-called emulators. Emulators are statistical models that approximate the functioning of RTMs. Emulators are advantageous in real practice because…

multi-outputComputer scienceradiative transfer modelsScienceExtrapolationemulatorMachine learningcomputer.software_genreemulator; machine learning; radiative transfer models; multi-output; ARTMO; GUI toolbox; FLEX; fluorescenceAtmosphereARTMOPartial least squares regressionRadiative transferMATLABcomputer.programming_languageArtificial neural networkbusiness.industryQStatistical modelVegetationToolboxFLEXmachine learningPrincipal component analysisGeneral Earth and Planetary SciencesfluorescenceArtificial intelligencebusinessAlgorithmcomputerGUI toolboxRemote Sensing
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Customer Value Framework and Recommendation Intention: The Moderating Role of Customer Characteristics in an Online Travel Community

2019

The aim of this study was to develop and test a model that examined the interactions among the customer value framework, recommendation intention and customer characteristics in an online travel community (OTC). Data were obtained using Amazon Mechanical Turk from 251 members of an OTC as a sample. The partial least squares method was used to analyse the data. We found that all the variables of the customer value framework, including functional value, hedonic value and social value, were positively related to recommendation intention. In addition, using multi-group analyses, the study found differences between how different customer segments perceive each of the value dimensions and their e…

online travel communityrecommendation intentionsuosituksetSample (statistics)Test (assessment)customer characteristicsCustomer valuePartial least squares regressionH1Econometricsasiakaskokemuscustomer value frameworkPsychologyValue (mathematics)verkkopalvelut
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Optimal Spectral Wavelengths for Discriminating Orchard Species Using Multivariate Statistical Techniques

2019

Sustainable management of orchard fields requires detailed information about the tree types, which is a main component of precision agriculture programs. To this end, hyperspectral imagery can play a major role in orchard tree species mapping. Efficient use of hyperspectral data in combination with field measurements requires the development of optimized band selection strategies to separate tree species. In this study, field spectroscopy (350 to 2500 nm) was performed through scanning 165 spectral leaf samples of dominant orchard tree species (almond, walnut, and grape) in Chaharmahal va Bakhtiyari province, Iran. Two multivariable methods were employed to identify the optimum wavelengths:…

optimal spectral wavelengths010504 meteorology & atmospheric sciences0211 other engineering and technologiesRed edge02 engineering and technologyfield spectroscopy; orchards species; ANOVA–RFC–PCA; PLS; optimal spectral wavelengths; discriminant analysis01 natural sciencesPartial least squares regressionlcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensinganova–rfc–pcaorchards speciesNear-infrared spectroscopyHyperspectral imaging15. Life on landplsLinear discriminant analysisdiscriminant analysisfield spectroscopyRandom forestTree (data structure)Principal component analysisGeneral Earth and Planetary Scienceslcsh:QRemote Sensing
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Measuring the perceived value of rural tourism: a field survey in the western Sicilian agritourism sector

2016

Rural tourism constitutes a valuable tool for the sustainable development of many rural areas. This paper examines the concept of perceived value in rural tourism. A quantitative field survey was carried out in some main Western Sicilian holiday farms (agritourisms) during the Spring 2014. A theoretical model of the tourists’ perceived value in this specific context was developed and validated, using a 22-item scale. Using Partial Least Squares Path Modelling a theoretical structural model of the multidimensional structure of the RTPV was tested, assessing intensity and direction of the causal relationships among RTPV and its dimensions. Five dimensions were identified as forming the constr…

partial least squares path modellingStatistics and ProbabilityValue (ethics)media_common.quotation_subjectrural tourismRural tourismContext (language use)latent variables scoresFormative assessmentPerceived value0502 economics and businessLoyaltySettore SECS-S/05 - Statistica SocialeMarketingmedia_common05 social sciencesagritourismsatisfactionGeneral Social SciencesloyaltyScale (social sciences)050211 marketingRural areaConstruct (philosophy)PsychologySocial psychology050212 sport leisure & tourismQuality & Quantity
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Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling : A Comment on Yuan and Deng (2021)

2023

In their article, Yuan and Deng argue that a structural parameter under partial least squares structural equation modeling (PLS-SEM) is zero if and only if the same structural parameter is zero under covariance-based structural equation modeling (CB-SEM). Yuan and Deng then conclude that statistical tests on individual structural parameters assessing the null hypothesis of no effect can achieve the same purpose in CB-SEM and PLS-SEM. Our response to their article highlights that the relationship they find between PLS-SEM and CB-SEM structural parameters is not universally valid, and that consequently, tests on individual parameters in CB-SEM and PLS-SEM generally do not fulfill the same pur…

partial least squares structural equation modeling (PLS-SEM)Sociology and Political ScienceUT-Hybrid-DGeneral Decision Sciencesrakenneyhtälömallitbias correctionMathematics and StatisticsmittausvirheetModeling and Simulationfactor score regressionvirheanalyysiGeneral Economics Econometrics and Financetilastolliset mallitmeasurement error
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Exploiting ongoing EEG with multilinear partial least squares during free-listening to music

2016

During real-world experiences, determining the stimulus-relevant brain activity is excitingly attractive and is very challenging, particularly in electroencephalography. Here, spectrograms of ongoing electroencephalogram (EEG) of one participant constructed a third-order tensor with three factors of time, frequency and space; and the stimulus data consisting of acoustical features derived from the naturalistic and continuous music formulated a matrix with two factors of time and the number of features. Thus, the multilinear partial least squares (PLS) conforming to the canonical polyadic (CP) model was performed on the tensor and the matrix for decomposing the ongoing EEG. Consequently, we …

ta113Multilinear mapmedicine.diagnostic_testBrain activity and meditationSpeech recognition02 engineering and technologyElectroencephalographyta3112Matrix decomposition03 medical and health sciences0302 clinical medicinetensor decompositionFrequency domainPartial least squares regression0202 electrical engineering electronic engineering information engineeringmedicineSpectrogramOngoing EEG020201 artificial intelligence & image processingmusicTime domain030217 neurology & neurosurgerymultilinear partial least squaresMathematics
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Higher-order Nonnegative CANDECOMP/PARAFAC Tensor Decomposition Using Proximal Algorithm

2019

Tensor decomposition is a powerful tool for analyzing multiway data. Nowadays, with the fast development of multisensor technology, more and more data appear in higherorder (order > 4) and nonnegative form. However, the decomposition of higher-order nonnegative tensor suffers from poor convergence and low speed. In this study, we propose a new nonnegative CANDECOM/PARAFAC (NCP) model using proximal algorithm. The block principal pivoting method in alternating nonnegative least squares (ANLS) framework is employed to minimize the objective function. Our method can guarantee the convergence and accelerate the computation. The results of experiments on both synthetic and real data demonstrate …

ta113ta213signaalinkäsittelyComputationproximal algorithmnonnegative CAN-DECOMP/PARAFACalternating nonnegative least squares010103 numerical & computational mathematics01 natural sciencesLeast squares03 medical and health sciences0302 clinical medicinetensor decompositionblock principal pivotingConvergence (routing)Decomposition (computer science)Tensor decompositionOrder (group theory)0101 mathematicsMulti way analysisAlgorithm030217 neurology & neurosurgeryBlock (data storage)Mathematics
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Analysing the Nigerian Teacher’s Readiness for Technology Integration

2019

teknologiakasvatustieto- ja viestintätekniikkapartial least squaresteacher educatorsTPACKteknologiaNigeriatechnology integrationstructural equation modellingintegrointiopettajankoulutus
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Income and Physical Activity among Adults: Evidence from Self-Reported and Pedometer-Based Physical Activity Measurements

2015

This study examined the relationship between income and physical activity by using three measures to illustrate daily physical activity: the self-reported physical activity index for leisure-time physical activity, pedometer-based total steps for overall daily physical activity, and pedometer-based aerobic steps that reflect continuous steps for more than 10 min at a time. The study population consisted of 753 adults from Finland (mean age 41.7 years; 64% women) who participated in 2011 in the follow-up of the ongoing Young Finns study. Ordinary least squares models were used to evaluate the associations between income and physical activity. The consistency of the results was explored by us…

tulotGerontologyAdultMaleLiikuntatiede - Sport and fitness sciencesHealth StatusPhysical activityphysical activitylcsh:MedicineMotor ActivityNegatively associatedadultsHumansLongitudinal Studiesta315Self reportlcsh:Scienceaikuisetta511MultidisciplinaryInstrumental variablelcsh:RMean ageMiddle Agedta3121Health SurveysSocioeconomic FactorsPedometerOrdinary least squaresIncomePopulation studyFemalelcsh:QSelf ReportPsychologyDemographyResearch ArticlePLoS ONE
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The Relationship between Knowledge Characteristics’ Fit and Job Satisfaction and Job Performance: The Mediating Role of Work Engagement

2020

Knowledge workers are highly valued by organizations, but there is a lack of evidence about the role of work engagement in the satisfaction and performance of these workers. Harmonization and Person&ndash

work engagementGeography Planning and DevelopmentTJ807-830050109 social psychologyHarmonizationManagement Monitoring Policy and LawTD194-195Renewable energy sources0502 economics and business0501 psychology and cognitive sciencesGE1-350job satisfactionPolynomial regressionComputingMilieux_THECOMPUTINGPROFESSIONEnvironmental effects of industries and plantsRenewable Energy Sustainability and the EnvironmentWork engagementEconomic sector05 social sciencesInformation processingknowledge characteristicsBuilding and ConstructionEnvironmental sciencesjob performancepolynomial regressionJob performanceOrdinary least squaresJob satisfactionPsychologySocial psychology050203 business & managementSustainability
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