Search results for "Statistic"

showing 10 items of 12520 documents

Diagnostic utility of new short versions of AUDIT to detect binge drinking in undergraduate students

2021

ABSTRACT This study examines the usefulness of two AUDIT adaptations with a sample of 907 undergraduate alcohol users. On the one hand, it includes the AR2i that encompasses revised A2r and A3r consumption items, and on the other hand—in addition to the two former items—the inclusion of items 4, 8, and 9, which evaluate consequences. The results indicate that both adaptations identify BD more precisely than the traditional scales (AUDIT and AUDIT-C), but the usefulness of each will depend on the clinical purpose they are given. In environments where time is a key factor in detecting high-risk consumption it will be more appropriate to use AR2i, which evaluates the pattern of con…

AR2iUndergraduate studentsApplied psychology030508 substance abuseBinge drinkingauditSample (statistics)Binge drinkingAuditar2i03 medical and health sciences0302 clinical medicinePsychologyROC030212 general & internal medicineConsumption (economics)Alcohol usersundergraduate studentsbinge drinkingBF1-990Clinical PsychologyrocAUDIT0305 other medical sciencePsychologyInclusion (education)Young person
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Are remote sensing evapotranspiration models reliable across South American ecoregions?

2021

Many remote sensing-based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley–Taylor Jet Propulsion Laboratory (PT-JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman–Monteith Mu model (PM-MOD), and Penman–Monteith Nagler model (PME-VI).…

ATMOSPHERE WATER FLUXVEGETATION INDEXCalibration (statistics)Penman-MonteithBiomeRIPARIAN EVAPOTRANSPIRATIONFluxLand coverSURFACE-TEMPERATUREtranspirationSEMIARID ENVIRONMENTCARBON-DIOXIDEENERGY-BALANCE CLOSUREEvapotranspirationPenman–Monteith equationWater Science and TechnologyRemote sensingRAINFALL INTERCEPTIONLand useWACMOS-ET PROJECTEDDY COVARIANCE MEASUREMENTSMODISEarth and Environmental SciencesEnvironmental sciencePriestley-TaylorScale (map)
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Predictive distributions that mimic frequencies over a restricted subdomain

2020

A predictive distribution over a sequence of $$N+1$$ events is said to be “frequency mimicking” whenever the probability for the final event conditioned on the outcome of the first N events equals the relative frequency of successes among them. Exchangeable distributions that exhibit this feature universally are known to have several annoying concomitant properties. We motivate frequency mimicking assertions over a limited subdomain in practical problems of finite inference, and we identify their computable coherent implications. We provide some examples using reference distributions, and we introduce computational software to generate any complete specification desired. Theorems on reducti…

A_n and H_n distributionSequenceSettore MAT/06 - Probabilita' E Statistica MatematicaComputer scienceConditional probabilityInferenceFrequencyOutcome (probability)Reduction (complexity)Distribution (mathematics)Settore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Probability elicitationExtendable exchangeabilityFeature (machine learning)Probability boundSettore SECS-S/01 - StatisticaGeneral Economics Econometrics and FinanceAlgorithmFinanceEvent (probability theory)Decisions in Economics and Finance
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Principal Poincar\'e Pontryagin Function associated to some families of Morse real polynomials

2014

It is known that the Principal Poincar\'e Pontryagin Function is generically an Abelian integral. We give a sufficient condition on monodromy to ensure that it is an Abelian integral also in non generic cases. In non generic cases it is an iterated integral. Uribe [17, 18] gives in a special case a precise description of the Principal Poincar\'e Pontryagin Function, an iterated integral of length at most 2, involving logarithmic functions with only one ramification at a point at infinity. We extend this result to some non isodromic families of real Morse polynomials.

Abelian integralPure mathematicsLogarithmApplied Mathematics34M35 34C08 14D05General Physics and AstronomyStatistical and Nonlinear PhysicsMorse codelaw.inventionPontryagin's minimum principlesymbols.namesakeMonodromylawPoincaré conjecturesymbolsPoint at infinitySpecial caseMathematics - Dynamical SystemsMathematical PhysicsMathematics
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PENERAPAN METODE SINGLE MOVING AVERAGE DAN EXSPONENTIAL SMOOTHING PADA USAHA ASRIE MODESTA

2020

This study  aims to (1) analyze the number of demands for batik products in the second period of 2018. (2) To analyze the most appropriate forecasting method. (3) To analyze the forecasting of the first period in 2019 using the selected forecasting method.
 This reseach uses primary data and secondary data with data collection techniques using interviews, observation, and documentation. The analysis used is Single Moving Averages and Exsponential Smoothing. 
 The results of research in forecasting demand for batik products in 2019 with the Single Moving Average method are 3,936 units with Mean Absolute Deviation (MAD) of 632.5 units and Mean Square Error (MSE) of 693,718 units. An…

Absolute deviationData collectionPolymers and PlasticsMean squared errorMoving averageAlpha ValueStatisticsWord error rateBusiness and International ManagementDemand forecastingIndustrial and Manufacturing EngineeringSmoothingMathematicsCakrawala Management Business Journal
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ON THE CALCULATION OF THE HEAT CAPACITY IN PATH INTEGRAL MONTE CARLO SIMULATIONS

1992

In Path Integral Monte Carlo simulations the systems partition function is mapped to an equivalent classical one at the expense of a temperature-dependent Hamiltonian with an additional imaginary time dimension. As a consequence the standard relation linking the heat capacity Cv to the energy fluctuations, <E2>−<E>2, which is useful in standard classical problems with temperature-independent Hamiltonian, becomes invalid. Instead, it gets replaced by the general relation [Formula: see text] for the intensive heat capacity estimator; β being the inverse temperature and the subscript P indicates the P-fold discretization in the imaginary time direction. This heatcapacity estimator…

Absolute magnitudeDiscretizationGeneral Physics and AstronomyEstimatorStatistical and Nonlinear PhysicsHeat capacityImaginary timeComputer Science Applicationssymbols.namesakeComputational Theory and MathematicsQuantum mechanicssymbolsStatistical physicsHamiltonian (quantum mechanics)QuantumMathematical PhysicsPath integral Monte CarloMathematicsInternational Journal of Modern Physics C
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Absolute measurement of quadratic nonlinearities from phase-matched second-harmonic generation in a single KTP crystal cut as a sphere

1997

We determine within an accuracy of ∼10% the absolute magnitude of the quadratic effective coefficients of types I and II phase-matched second-harmonic generation from conversion efficiency measurements in a single nonlinear crystal cut as a sphere. The agreement is good with measurements performed in thin parallelepipedal samples. The material studied is KTiOPO4, for which improved Sellmeier equations are given.

Absolute magnitudePhysicsbusiness.industryMathematical analysisEnergy conversion efficiencyPhase (waves)Second-harmonic generationStatistical and Nonlinear PhysicsAtomic and Molecular Physics and OpticsCrystalNonlinear systemQuadratic equationOpticsbusinessRefractive indexJournal of the Optical Society of America B
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Dynamic mean absolute error as new measure for assessing forecasting errors

2018

Abstract Accurate wind power forecast is essential for grid integration, system planning, and electricity trading in certain electricity markets. Therefore, analyzing prediction errors is a critical task that allows a comparison of prediction models and the selection of the most suitable model. In this work, the temporal error and absolute magnitude error are simultaneously considered to assess the forecast error. The trade-off between both types of errors is computed, analyzed, and interpreted. Moreover, a new index, the dynamic mean absolute error, DMAE, is defined to measure the prediction accuracy. This index accounts for both error components: temporal and absolute. Real cases of wind …

Absolute magnitudeWind powerIndex (economics)Renewable Energy Sustainability and the EnvironmentComputer sciencebusiness.industry020209 energyWork (physics)Energy Engineering and Power Technology02 engineering and technology021001 nanoscience & nanotechnologyGridMeasure (mathematics)Fuel TechnologyNuclear Energy and EngineeringStatistics0202 electrical engineering electronic engineering information engineeringElectricity0210 nano-technologybusinessPredictive modellingEnergy Conversion and Management
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Electronic signature of the instantaneous asymmetry in the first coordination shell of liquid water

2013

Interpretation of the X-ray spectra of water as evidence for its asymmetric structure has challenged the conventional symmetric nearly-tetrahedral model and initiated an intense debate about the order and symmetry of the hydrogen bond network in water. Here, we present new insights into the nature of local interactions in water obtained using a novel energy decomposition method. Our simulations reveal that while a water molecule forms, on average, two strong donor and two strong acceptor bonds, there is a significant asymmetry in the energy of these contacts. We demonstrate that this asymmetry is a result of small instantaneous distortions of hydrogen bonds, which appear as fluctuations on …

Absorption spectroscopymedia_common.quotation_subjectShell (structure)FOS: Physical sciencesGeneral Physics and AstronomyCondensed Matter - Soft Condensed Matter010402 general chemistry01 natural sciencesAsymmetryMolecular physicsGeneral Biochemistry Genetics and Molecular BiologySpectral linePhysics - Chemical Physics0103 physical sciencesMoleculeCondensed Matter - Statistical Mechanicsmedia_commonChemical Physics (physics.chem-ph)PhysicsMultidisciplinaryStatistical Mechanics (cond-mat.stat-mech)010304 chemical physicsHydrogen bondGeneral ChemistryComputational Physics (physics.comp-ph)AcceptorSymmetry (physics)0104 chemical sciencesCondensed Matter - Other Condensed MatterSoft Condensed Matter (cond-mat.soft)Physics - Computational PhysicsOther Condensed Matter (cond-mat.other)
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Personal variables, motivation and avoidance learning strategies in undergraduate students

2014

Abstract This study examines the relationships among students' personal variables, their initial motivation and the avoidance learning strategies they used during the teaching/learning process followed in the Educational Psychology subject matter. The sample comprised 195 Spanish undergraduate students who studied Educational Psychology. A questionnaire was administered at the beginning of the academic year to measure students' personal variables and their initial motivation, while another was administered at the end of the academic year to measure students' involvement in their learning process through the avoidance strategies they used. The data analysis was done by using structural equat…

Academic yearSocial PsychologyHigher educationbusiness.industryEducational psychologytheoretical frameworkSample (statistics)Structural equation modelingEducationSubject matterresearch in the classroomAvoidance learninghigher educationDevelopmental and Educational PsychologyMathematics educationComputingMilieux_COMPUTERSANDEDUCATIONeducational settingPsychologybusinessinstructional model
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