Search results for "statistical [error]"

showing 10 items of 36 documents

Assessing the role of evidence of mechanisms in causal extrapolation

2020

Extrapolation of causal claims from study populations to other populations of interest is a problematic issue. The standard approach in experimental research, which prioritises randomized controlled trials and statistical evidence, is not devoid of difficulties. Granted that, it has been defended that evidence of mechanisms is indispensable for causal extrapolation. We argue, contrarily, that this sort of evidence is not indispensable. Nonetheless, we also think that occasionally it may be helpful. In order to clarify its relevance, we introduce a distinction between a positive and a negative role of evidence of mechanisms. Our conclusion is that the former is highly questionable, but the l…

Mechanism (biology)Extrapolation06 humanities and the arts0603 philosophy ethics and religionCausalityExperimental researchPhilosophyTrustworthinessHistory and Philosophy of Science060302 philosophyRelevance (law)CausationPositive economicsPsychologyStatistical evidence
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Simulation of electronic states in a nanowire field-effect transistor

2015

De acuerdo con la ley empírica de Moore, el número de transistores en un circuito integrado se ve duplicado aproximadamente cada dos años. Una vez traspasada la frontera hacia la escala nanométrica, estos dispositivos comienzan a padecer efectos adversos al funcionamiento deseable de un transistor, como la pérdida de integridad eléctrica, efectos debidos a la corta longitud del canal o la falta de reproducibilidad. Las nanoestructuras cristalinas semiconductoras conocidas como nanohilos están emergiendo como candidatos prometedores para formar una nueva base alternativa de los transistores de efecto campo y continuar la miniaturización tecnológica en la escala nanométrica. Esto es debido al…

NanowireUNESCO::CIENCIAS TECNOLÓGICAS::Tecnología electrónica ::Dispositivos semiconductoresNWFETCoulomb blockadeEntropyTransistor:CIENCIAS TECNOLÓGICAS::Tecnología electrónica ::Dispositivos semiconductores [UNESCO]NEGFStatistical operator
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Energy loss of 40Ar in Au: Comparison of TOF-E and TOF–TOF method

2005

Abstract Energy loss of 40Ar ions in Au has been measured using two methods: TOF-E and TOF–TOF. The two methods are compared and discussed. The final results cover energy range 2–445 MeV (0.05–11 MeV/u) and give satisfactory agreement with SRIM 2003 predictions. Statistical error of the data is at the level of 1–2%.

Nuclear and High Energy PhysicsRange (particle radiation)Energy lossChemistryAnalytical chemistryStopping power (particle radiation)Statistical errorAtomic physicsInstrumentationEnergy (signal processing)IonNuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
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Phänomenologische Betrachtung zur Photon-Elektron-Wechselwirkung in einem Plasma

1961

The question at stake is, whether a simple physical connection may be found between Richardson equation for thermionic emission on the one hand, and Richardson equation for photoelectric emission on the other hand. The proposition of such a connection is based on the following supposition: that electrons are not only elements of a (Fermi-Dirac-) statistical ensemble and, as such, cause thermionic phenomena; but that they can also interact with a radiation field, thereby causing an additional emission current, according to Richardson (photoelectric) equation. — It is shown in detail that the current emitted from a metal of 2000 °K is determined by the complete radiation of this metal only to…

PhysicsStatistical ensembleNuclear and High Energy PhysicsNuclear fusionThermionic emissionElectronCurrent (fluid)Atomic physicsRadiationPhotoelectric effectExcitationZeitschrift für Physik
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Optical wave turbulence: Toward a unified nonequilibrium thermodynamic formulation of statistical nonlinear optics

2014

International audience; The nonlinear propagation of coherent optical fields has been extensively explored in the framework of nonlinear optics, while the linear propagation of incoherent fields has been widely studied in the framework of statistical optics. However, these two fundamental fields of optics have been mostly developed independently of each other, so that a satisfactory understanding of statistical nonlinear optics is still lacking. This article is aimed at reviewing a unified theoretical formulation of statistical nonlinear optics on the basis of the wave turbulence theory, which provides a nonequilibrium thermodynamic description of the system of incoherent nonlinear waves. W…

Physics[PHYS]Physics [physics]NLS equation[ PHYS ] Physics [physics]Thermalization and condensationWave turbulencestatistical opticsVlasov equationIncoherent scatterGeneral Physics and AstronomyNonlinear opticsIncoherent solitons[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Nonlinear systemsymbols.namesakeModulational instabilityClassical mechanics[NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]symbols[ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]SolitonNonlinear Schrödinger equation[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]
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The Wage Curve, Once More with Feeling: Bayesian Model Averaging of Heckit Models

2018

The sensitivity of the wage curve to sample-selection and model uncertainty was evaluated with Bayesian methods. More than 8000 Heckit wage curves were estimated using data from the 2017 household survey of Bolivia. After averaging the estimates with the posterior probability of each model being true, the wage curve elasticity in Bolivia is close to -0.01. This result suggests that in this country the wage curve is inelastic and does not follow the international statistical regularity of wage curves. 

Physics::Physics and SocietyStatistical regularityWage curveStatistics::Applicationsmedia_common.quotation_subjectBayesian probabilityPosterior probabilityMathematics::History and OverviewWageBayesian inferenceComputer Science::Computers and SocietyHousehold surveylcsh:Financelcsh:HG1-9999EconometricsMathematicsmedia_common
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An improvement of June-September rainfall forecasting in the Sahel based upon region April-May moist static energy content (1968-1997)

1999

This study provides statistical evidence that June–September Sahelian rainfall hindcasts currently based on oceanic thermal predictors apprehend more the negative trend than the interannual rainfall variations. Four physically meaningful predictors of June–September Sahel rainfall are first selected through the near-surface April–May information and several experimental hindcasts provided. We then discuss the skills achieved using regression techniques and cross-validated discriminant functions. In that context, 8/11 of the driest seasons and 8/10 of the wettest are correctly predicted. Finally using completely independent training and working periods we show that better and significant hin…

Sea surface temperatureGeophysicsClimatologyTraining (meteorology)Moist static energyGeneral Earth and Planetary SciencesHindcastForecast skillEnvironmental scienceContext (language use)Regression analysisStatistical evidenceGeophysical Research Letters
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Improved variables for measuring theΛbpolarization

1996

We discuss a few possible strategies for measuring the polarization of the {Lambda}{sub {ital b}} baryons produced in {ital e}{sup +}{ital e}{sup {minus}} annihilation at the {ital Z} resonance through their inclusive semileptonic decays. After reviewing the existing methods, an extension is proposed, based on the ratio of the averages of the squared electron and neutrino energies, including both perturbative and nonperturbative corrections. This variable minimizes the statistical error on the {Lambda}{sub {ital b}} polarization, while keeping the systematic theoretical errors at the level of 1{endash}2{percent}. A number of other polarization-sensitive variables are also discussed, such as…

Semileptonic decayPhysicsNuclear and High Energy PhysicsParticle physicsAnnihilation010308 nuclear & particles physicsComputer Science::Information RetrievalHigh Energy Physics::PhenomenologyElectronPolarization (waves)Lambda01 natural sciencesBaryon0103 physical sciencesStatistical errorNeutrino010306 general physicsPhysical Review D
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An intelligent way to predict the building thermal needs: ANNs and optimization

2022

The evaluation of the energy performance of existing or new buildings is a fundamental action to guarantee the feasibility of a project and the achievement of the minimum efficiency requirements. In general, the determination of the thermal loads of a building is carried out via software but their use requires adequate knowledge of physical phenomena and therefore the presence of an expert user. Furthermore, the resolution can be difficult to implement and can require high computational costs; all conditions that can influence the success of a project. Based on these considerations, this work proposes an alternative solution to traditional calculation tools, which in a simple and effective …

Settore ING-IND/11 - Fisica Tecnica AmbientaleArtificial IntelligenceGeneral EngineeringArtificial Neural Network Thermal energy demand Forecast method Sensitivity analysis Statistical error analysisComputer Science ApplicationsExpert Systems with Applications
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Spectral long-range interaction of temporal incoherent solitons.

2014

We study the interaction of temporal incoherent solitons sustained by a highly noninstantaneous (Raman-like) nonlinear response. The incoherent solitons exhibit a nonmutual interaction, which can be either attractive or repulsive depending on their relative initial distance. The analysis reveals that incoherent solitons exhibit a long-range interaction in frequency space, which is in contrast with the expected spectral short-range interaction described by the usual approach based on the Raman-like spectral gain curve. Both phenomena of anomalous interaction and spectral long-range behavior of incoherent solitons are described in detail by a long-range Vlasov equation.

Shock waveWave propagationIncoherent scatter01 natural sciences010305 fluids & plasmassymbols.namesakeOptics[ MATH.MATH-AP ] Mathematics [math]/Analysis of PDEs [math.AP][NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Quantum mechanics0103 physical sciences[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP][ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]010306 general physicsDispersion (water waves)ComputingMilieux_MISCELLANEOUSPhysicsbusiness.industrystatistical opticsVlasov equationAtomic and Molecular Physics and Optics[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Nonlinear systemsymbolsbusiness[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]Raman scatteringCoherence (physics)Optics letters
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