Search results for "Variable"

showing 10 items of 1674 documents

Determinants of Ready-to-eat Products Purchase Intentions: An Empirical Study among the Italian Consumers

2018

The considerable diffusion of ready-to-eat products has focused attention on the reasons for their increasingly prominent success in the market. Although their prices are much higher than the prices of simple raw materials, their consumption has increased rapidly and with no end in sight, a situation that has challenged the conclusions of the classical literature on the importance of price and/or income in consumer decisions. In fact, more recent literature has broadened the classical vision by introducing potential additional variables that could influence consumer choice of certain foods. These variables, however, are not always easy and clear to identify because they reflect the cultural…

Consumption variable0404 agricultural biotechnologyEmpirical researchNew needSettore AGR/01 - Economia Ed Estimo RuraleSettore IUS/01 - Diritto PrivatoAdvertisingReady to eat04 agricultural and veterinary sciencesBusinessConsumerHorticulture040401 food scienceHortScience
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Automatic regrouping of strata in the goodness-of-fit chi-square test

2019

Pearson’s chi-square test is widely employed in social and health sciences to analyze categorical data and contingency tables. For the test to be valid, the sample size must be large enough to provide a minimum number of expected elements per category. This paper develops functions for regrouping strata automatically no matter where they are located, thus enabling the goodness-of-fit test to be performed within an iterative procedure. The functions are written in Excel VBA (Visual Basic for Applications) and in Mathematica. The usefulness and performance of these functions is illustrated by means of a simulation study and the application to different datasets. Finally, the iterative use of …

Contingency tableComputer scienceContinuous Sample of Working Lives62G10 62P25MathematicaSample (statistics):62 Statistics::62P Applications [Classificació AMS]Visual Basic for ApplicationsEconomiaTest (assessment):62 Statistics::62G Nonparametric inference [Classificació AMS]Goodness of fitFinancesSample size determination:Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC]StatisticsVisual Basic for ApplicationsChi-square testGoodness-of-fit chi-square test statistical software Visual Basic for Applications Mathematica Continuous Sample of Working Livesstatistical softwareGoodness-of-fit chi-square testEconometríaCategorical variable
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III: „Relatives Risiko” und „NNT” - anschauliche Maße für binäre Daten

2002

Description of categorial data can often be based on contingency tables. However, percentages appearing in such tables must be meaningful: For most applications, it may be useful to employ factors of causal influence as the row entry variable and relate percentages to sub-groups defined by these row entries ("row percentages"). The comparison of success frequencies (i. e. binary information on "therapy success yes/no") may be based on two therapies, respective success frequencies and their ratio, the relative risk. In addition the success frequencies' difference, the absolute (or excess) risk, can be transformed into the "number needed to treat" (NNT). Many international journals demand thi…

Contingency tableOphthalmologyVariable (computer science)Relative valuebusiness.industryRelative riskBinary dataStatisticsNumber needed to treatMedicineRisk factorbusinessNumero signKlinische Monatsblätter für Augenheilkunde
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Testing the group polarization hypothesis by using logit models

2002

This paper focuses on methodological aspects of group polarization research and has two well-defined parts. The first part presents a methodological overview of group polarization research together with an examination of the inadequacy, under certain circumstances, of the traditional parametric approach usually used to test this phenomenon based on pre-test/post-test means comparison across groups. It is shown that this approach will produce masks effects when groups are heterogeneous with regard to the observed change from pre-test to post-test. The second part suggests an alternative methodological approach based on logit models for the analysis of contingency tables from a categorization…

Contingency tableSocial groupSocial PsychologyCategorizationPhenomenonSimulated dataLogitPsychologyCategorical variableSocial psychologyParametric statisticsEuropean Journal of Social Psychology
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Income distribution dynamics: monotone Markov chains make light work

1995

This paper considers some aspects of the dynamics of income distributions by employing a simple Markov chain model of income mobility. The main motivation of the paper is to introduce the techniques of “monotone” Markov chains to this field. The transition matrix of a discrete Markov chain is called monotone if each row stochastically dominates the row above it. It will be shown that by embedding the dynamics of the income distribution in a monotone Markov chain, a number of interesting results may be obtained in a straightforward and intuitive fashion.

Continuous-time Markov chainEconomics and EconometricsMathematical optimizationMarkov kernelMarkov chain mixing timeMarkov chainVariable-order Markov modelApplied mathematicsMarkov propertyExamples of Markov chainsMarkov modelSocial Sciences (miscellaneous)MathematicsSocial Choice and Welfare
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Fuzzy logic approach to predict vehicle crash severity from acceleration data

2015

Vehicle crash is a complex behavior to be investigated as a challenging topic in terms of dynamical modeling. On this aim, fuzzy logic can be utilized to analyze the crash dynamics rapidly and simply. In this paper, the experimental data of the frontal crash is recorded using an accelerometer located at the centre of the gravity of the vehicle. The acceleration signal was the raw data from which the collision intensity expressed by the kinetic energy and the jerk were derived. The fuzzy logic model was then developed from the two inputs namely kinetic energy and jerk. The output variable is the crash severity expressed as the dynamic crash. The result shows that the jerk contributes much to…

Control and OptimizationComputer scienceSIGNAL (programming language)CrashAccelerometerCollisionFuzzy logicFuzzy logic; Jerk and Kinetic energy; vehicle crash severity; Artificial Intelligence; Control and Optimization; Discrete Mathematics and CombinatoricsFuzzy logicJerk and Kinetic energyAccelerationVariable (computer science)JerkArtificial IntelligenceDiscrete Mathematics and CombinatoricsSimulationvehicle crash severity2015 International Conference on Fuzzy Theory and Its Applications (iFUZZY)
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Analysis a DSP Implementation and Experimental Validation of a Loss Minimization Algorithm Applied to Permanent Magnet Synchronous Motor Drives

2004

In this paper a new loss minimization control algorithm for inverter-fed permanent-magnet synchronous motors (PMSM), which allows to reduce the power losses of the electric drive without penalty on its dynamic performances, is analyzed, experimentally realized and validated. In particular, after a brief recall of two loss minimization control strategies (the "search control" and the "loss-model control"), both a modified dynamic model of the PMSM, which takes into account the iron losses, and a "loss-model" control strategy, are treated. Experimental tests on a specific PMSM drive employing the proposed loss minimization algorithm were performed aiming to validate the actual implementation.…

Control systemsPermanent magnet synchronous motorComputer sciencebusiness.industryExperimental validationSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciControl theoryEfficiency improvementMotor drivesLoss minimizationVariable speed drivesbusinessSynchronous motorAlgorithmDigital signal processingPermanent magnet synchronous motor
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Convex functions on Carnot Groups

2007

We consider the definition and regularity properties of convex functions in Carnot groups. We show that various notions of convexity in the subelliptic setting that have appeared in the literature are equivalent. Our point of view is based on thinking of convex functions as subsolutions of homogeneous elliptic equations.

Convex analysisPure mathematicsCarnot groupsubelliptic equations.49L25Mathematics::Complex VariablesGeneral MathematicsMathematical analysissubelliptic equationsMathematics::Analysis of PDEsHorizontal convexityviscosity convexity35J70Convexitysymbols.namesakeCarnot groupsHomogeneous35J67Convex optimizationsymbolsPoint (geometry)Carnot cycleConvex function22E30Mathematics
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R Code for Hausdorff and Simplex Dispersion Orderings in the 2D Case

2010

This paper proposes a software implementation using R of the Hausdorff and simplex dispersion orderings. A copy can be downloaded from http://www.uv.es/~ayala/software/fun-disp.R . The paper provides some examples using the functions exactHausdorff for the Hausdorff dispersion ordering and the function simplex for the simplex dispersion orderings. Some auxiliary functions are commented too.

Convex hullDiscrete mathematicsSimplexMultivariate random variableMathematicsofComputing_NUMERICALANALYSISHausdorff spaceAuxiliary functionFunction (mathematics)CombinatoricsTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYMathematics::Metric GeometryHausdorff measureStatistical dispersionMathematics
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2018

Although generic skills have received widespread attention from both policymakers and educationalists, little is known regarding how students acquire these skills, or how they should best be taught...

Cooperative learningComputingMilieux_THECOMPUTINGPROFESSIONTeaching methodmedia_common.quotation_subject05 social sciencesLifelong learning050301 educationPredictor variablesSkill developmentThinking skillsCreativityEducationBasic skills0502 economics and businessComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationPsychology0503 education050203 business & managementmedia_commonTeaching in Higher Education
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