Search results for "PLS"

showing 10 items of 53 documents

An Importance-Performance Matrix Analysis of the Factors Influencing US Tourists to Use Airbnb

2019

After 10 years of Airbnb and its significant growth, this research is conducted to identify which factors really matter to Airbnb users today. It provides an integrated approach, since it aggregates factors that other studies have considered separately. With a sample of 101 US respondents, the partial least squares structural equation modelling results evidence that the only factors that influence future intentions to use Airbnb are its unique and varied accommodations and satisfaction. Enjoyment was also found to have a positive effect on Satisfaction. The study further investigates these factors with an Importance Performance map, providing guidance for the prioritization of managerial ac…

PrioritizationImportance-Performance Matrix AnalysisComputer sciencePartial least squares regressionEconometricsSample (statistics)Matrix analysisPLSAirbnbIntegrated approachFutures contractStructural equation modeling
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Data granularity in mid-year life table construction

2020

[EN] Life tables have a substantial influence on both public pension systems and life insurance policies. National statistical agencies construct life tables from death rate estimates (𝑚���𝑥���), or death probabilities (𝑞���𝑥��� ), after applying various hypotheses to the aggregated figures of demographic events (deaths, migrations and births). The use of big data has become extensive across many disciplines, including population statistics. We take advantage of this fact to create new (more unrestricted) mortality estimators within the family of period-based estimators, in particular, when the exposed-to-risk population is computed through mid-year population estimates. We use actual d…

QcaDeath ratesbusiness.industryWeb dataBig dataLibrary scienceConferencePlsExposed-to-risk populationBig dataMid-year estimatorsLife tableBig microdataPolitical scienceSemAgency (sociology)Table (database)Christian ministryMortality tablesbusinessInternet dataCARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics
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Big Data in Corporate Governance decision

2020

[EN] Progress in Big Data in recent years has grown exponentially, which has allowed the detection and processing of a large amount of data. Until recently, this fact was unattainable by the lack of mechanization of the corporate governance reports. This paper investigates the relationship between corporate governance decisions affect the indebtedness policies of 1,956 industrial companies listed in Europe and the USA over the period 2016–2018 (5,868 observations). To measure corporate governance decisions, we use detailed information on the expertise of audit committees, the proportion of independent directors, board structures and women's presence on corporate boards. Our findings, which …

Qcabusiness.industryCorporate governanceWeb dataBig dataConferenceAccountingPlsBig dataCorporate GovernanceBusiness AnalyticsBusiness analyticsSemExpertise Audit CommitteesBusinessInternet dataCARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics
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DeterminaciĂłn de cocaĂ­na por espectrometrĂ­a vibracional

2017

RESUMEN DE LA TESIS DOCTORAL Clara María Pérez Alfonso. DETERMINACIÓN DE COCAÍNA POR ESPECTROMETRÍA VIBRACIONAL. Universitat de València. La cocaína es una sustancia con actividad anestésica y psicoactiva que se obtiene a partir de la hoja de la planta de la coca (Erythroxylon coca o Erythroxylon novogranatense). Esta sustancia es responsable de gran parte de los casos de hospitalización por problemas agudos y muertes relacionadas con el consumo de drogas en Europa. Es la droga de abuso objeto de mayor número de incautaciones después de la planta de cannabis y el hachis, la que se encuentra en matrices más variadas y la que sufre mayor adulteración de todas las sustancias ilegales que se an…

Quimica forenseUNESCO::QUĂŤMICAMIRPLSNIREspectrometrĂ­a vibracional:QUĂŤMICA [UNESCO]CocaĂ­na
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Involvement and image transfer in sports sponsorship

2017

Sponsorships have become one of the most important marketing tools. Data show that a majority of sporting events is sponsored and that investment in sponsorship is increasing every year. Companies are demanding more research to better unde rstand their investment efficacy. Involvement is a key element in processing sponsorship information in consumers’ minds. This variable affects consumer behavior and moderates the sponsor image transfer. The study of involvement could give guidance for the design of appropriate and functional advert ising campaigns. The research proposes segmenting and modelling sport consumer behaviour in sponsorship by their level of involvement with the event. For this…

Sponsorship.Economics and EconometricsProcess (engineering)Computer sciencemedia_common.quotation_subjecteventconsumer involvementPLSField (computer science)Market segmentation0502 economics and businessSegmentationBusiness and International ManagementMarketingFunction (engineering)Engineering (miscellaneous)Consumer behaviourmedia_commonEvent (computing)05 social sciencesAdvertisingWeb banner050211 marketingsponsorshipsport050212 sport leisure & tourism
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A rapid method for the differentiation of yeast cells grown under carbon and nitrogen-limited conditions by means of partial least squares discrimina…

2012

This paper shows the ease of application and usefulness of mid-IR measurements for the investigation of orthogonal cell states on the example of the analysis of Pichia pastoris cells. A rapid method for the discrimination of entire yeast cells grown under carbon and nitrogen-limited conditions based on the direct acquisition of mid-IR spectra and partial least squares discriminant analysis (PLS-DA) is described. The obtained PLS-DA model was extensively validated employing two different validation strategies: (i) statistical validation employing a method based on permutation testing and (ii) external validation splitting the available data into two independent sub-sets. The Variable Importa…

Time FactorsChemistry(all)Spectrophotometry InfraredNitrogenAnalytical chemistryInfrared spectroscopyPichiaArticleAnalytical ChemistryPichia pastorisPichia pastorisInfrared (IR) micro-spectroscopyPartial least squares regressionProcess controlPartial least squares-discriminant analysis (PLS-DA)Least-Squares AnalysisProjection (set theory)Cell ProliferationPrincipal Component AnalysisbiologyChemistryDiscriminant AnalysisReproducibility of ResultsLinear discriminant analysisbiology.organism_classificationDouble cross validation (2CV)YeastCarbonYeastCulture MediaPermutation testingPrincipal component analysisFeasibility StudiesBiological systemTalanta
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The balance sheet accounts on the stress tests

2017

Este artículo estudia la influencia de la estructura del balance en la PD (probabilidad de incumplimiento) y LGD (pérdida dada por defecto) utilizando modelos econométricos. El objetivo es estudiar cómo afectan los agregados en el balance general a la DP y la LGD, distinguiendo estos efectos según el ciclo económico, de modo que se puedan aplicar a la prueba de resistencia. Los resultados indican que la estructura del saldo es importante en PD y LGD, especialmente con respecto a los fondos de los accionistas, los recursos del BCE y la cuenta de activos no corrientes mantenidos para la venta. También destaca la influencia del ciclo económico y el diferente comportamiento de la DP y la LGD co…

UNESCO::CIENCIAS ECONÓMICASNPLs Impairment losses on financial assets economic cycle OLS EBA:CIENCIAS ECONÓMICAS [UNESCO]
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Retail brand equity: a model based on its dimensions and effects

2013

International audience; Brand equity has been recognized as a key variable in both the academic and professional literature. This article aims to deepen the nature of the retailer equity construct and identify the variables that contribute to its formation, proposing an integrative model based on their dimensions and effects. From an empirical perspective, a survey is carried out with 300 consumers in three retailer categories, in order to analyze the relationships of the model. Due to the formative nature of two of the constructs, the analysis is developed through the partial least squares technique. From the analysis of the results, the importance of store image, perceived store value, an…

Value (ethics)Economics and Econometricsmedia_common.quotation_subjectretail brand equitySatisfactionPLSTrustFormative assessmentLoyaltyStore imagePerceived value0502 economics and businessLoyaltyBrand equityBusiness and International ManagementMarketingmedia_commonMarketing05 social sciencesEquity (finance)Variable (computer science)Order (business)[SHS.GESTION]Humanities and Social Sciences/Business administration050211 marketingBusinessConstruct (philosophy)050203 business & management
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Evaluation of the effect of chance correlations on variable selection using Partial Least Squares -Discriminant Analysis

2013

Variable subset selection is often mandatory in high throughput metabolomics and proteomics. However, depending on the variable to sample ratio there is a significant susceptibility of variable selection towards chance correlations. The evaluation of the predictive capabilities of PLSDA models estimated by cross-validation after feature selection provides overly optimistic results if the selection is performed on the entire set and no external validation set is available. In this work, a simulation of the statistical null hypothesis is proposed to test whether the discrimination capability of a PLSDA model after variable selection estimated by cross-validation is statistically higher than t…

Variable selectionESTADISTICA E INVESTIGACION OPERATIVAFeature selectionChance correlationsAnalytical ChemistrySet (abstract data type)ResamplingPartial least squares regressionStatisticsHumansMetabolomicsLeast-Squares AnalysisSelection (genetic algorithm)ProbabilityGaucher DiseaseModels StatisticalChemistryDiscriminant AnalysisReproducibility of ResultsPartial Least Squares-Discriminant Analysis (PLSDA)Linear discriminant analysisVariable (computer science)Null hypothesisAlgorithmsSoftware
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Analyse des effets direct et indirect des pratiques agricoles sur les adventices et la production de blé tendre d’hiver

2016

Analysis of direct and indirect effects of farming practices on weeds and winter wheat yield. Farmers implement farming practices to maximize production by limiting biotic (e.g. weeds) and abiotic (e.g. nutrient) growth factors. Our study aimed to quantify direct and indirect (through a change of weed pressure) effects of farming practices on yield. We analysed the relationships between farming practices, weeds and yield of 152 wheat fields located in the study site of Fénay (UMR Agroécologie, Dijon) using partial least square path modelling (PLS-PM). Our results showed that farming practices had a positive direct effect on crop productivity (β = 0.32). Farming practices decreased weed pres…

[SDV] Life Sciences [q-bio]gestion des adventices[ SDV ] Life Sciences [q-bio][SDV]Life Sciences [q-bio]blé tendre d'hiverrendementpartial least square path modellingPLS-PMsystème de cultureyieldcropping systemweed managementwinter wheat
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