Search results for "SCALE"

showing 10 items of 5180 documents

Relaxation of Electron Spin during High-Field Transport in GaAs Bulk

2011

A semiclassical Monte Carlo approach is adopted to study the multivalley spin depolarization of drifting electrons in a doped n-type GaAs bulk semiconductor, in a wide range of lattice temperature ($40<T_L<300$ K) and doping density ($10^{13}<n<10^{16}$cm$^{-3}$). The decay of the initial non-equilibrium spin polarization of the conduction electrons is investigated as a function of the amplitude of the driving static electric field, ranging between 0.1 and 6 kV/cm, by considering the spin dynamics of electrons in both the $\Gamma$ and the upper valleys of the semiconductor. Doping density considerably affects spin relaxation at low temperature and weak intensity of the driving electric fiel…

Statistics and ProbabilityMaterials scienceField (physics)FOS: Physical sciencesElectronSettore FIS/03 - Fisica Della MateriaCondensed Matter::Materials ScienceElectric fieldMesoscale and Nanoscale Physics (cond-mat.mes-hall)Spin (physics)Condensed Matter - Statistical MechanicsCondensed matter physicsSpin polarizationStatistical Mechanics (cond-mat.stat-mech)Condensed Matter - Mesoscale and Nanoscale Physicsbusiness.industryDopingRelaxation (NMR)Statistical and Nonlinear Physicsdriven diffusive systems (theory) stochastic particle dynamics (theory) transport processes/heat transfer (theory) Boltzmann equationCondensed Matter::Mesoscopic Systems and Quantum Hall EffectSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)SemiconductorCondensed Matter::Strongly Correlated ElectronsStatistics Probability and Uncertaintybusiness
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Estimation of orientation characteristic of fibrous material

2001

A new statistical method for estimating the orientation distribution of fibres in a fibre process is suggested where the process is observed in the form of a degraded digital greyscale image. The method is based on line transect sampling of the image in a few fixed directions. A well-known method based on stereology is available if the intersections between the transects and fibres can be counted. We extend this to the case where, instead of the intersection points, only scaled variograms of grey levels along the transects are observed. The nonlinear estimation equations for a parametric orientation distribution as well as a numerical algorithm are given. The method is illustrated by a real…

Statistics and ProbabilityMathematical optimizationOrientation (computer vision)Applied Mathematics010102 general mathematicsGeometry01 natural sciencesGrayscaleIntersection (Euclidean geometry)010104 statistics & probabilityNonlinear systemDigital imageLine (geometry)0101 mathematicsTransectMathematicsParametric statisticsAdvances in Applied Probability
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Sequential estimation of a location parameter and powers of a scale parameter from delayed observations

2013

The problem of sequentially estimating a location parameter and powers of a scale parameter is considered in the case when the observations become available at random times. Certain classes of sequential estimation procedures are derived under an invariant balanced loss function and with the observation cost determined by a convex function of the stopping time and the number of observations up to that time.

Statistics and ProbabilityMathematical optimizationSequential estimationLocation parameterStopping timeApplied mathematicsFunction (mathematics)Statistics Probability and UncertaintyInvariant (mathematics)Convex functionScale parameterShape parameterMathematicsStatistica Neerlandica
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Hydrokinetic simulations of nanoscopic precursor films in rough channels

2009

We report on simulations of capillary filling of high-wetting fluids in nano-channels with and without obstacles. We use atomistic (molecular dynamics) and hydrokinetic (lattice-Boltzmann) approaches which point out clear evidence of the formation of thin precursor films, moving ahead of the main capillary front. The dynamics of the precursor films is found to obey a square-root law as the main capillary front, z^2(t) ~ t, although with a larger prefactor, which we find to take the same value for the different geometries (2D-3D) under inspection. The two methods show a quantitative agreement which indicates that the formation and propagation of thin precursors can be handled at a mesoscopic…

Statistics and ProbabilityMesoscopic physicsMaterials scienceParametric analysisCapillary actionFluid Dynamics (physics.flu-dyn)FOS: Physical sciencesStatistical and Nonlinear PhysicsPhysics - Fluid DynamicsMechanicsCapillary fillingSquare (algebra)Settore FIS/02 - Fisica Teorica Modelli e Metodi MatematiciPhysics::Fluid DynamicsMolecular dynamicsPoint (geometry)Statistics Probability and UncertaintyNanoscopic scale
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Classification trees for multivariate ordinal response: an application to Student Evaluation Teaching

2016

Data from multiple items on an ordinal scale are commonly collected when qualitative variables, such as feelings, attitudes and many other behavioral and health-related variables are observed. In this paper we introduce a method to derive a distance-based tree for multivariate ordinal response that allows, when subject-specific characteristics are available, to derive common profiles for respondents giving the same/similar multivariate ratings. Special attention will be paid to the performance comparison in terms of AUC, for three different distances used as splitting criteria. Simulated data an a dataset from a Student Evaluation of Teaching survey will be used as illustrative examples. Th…

Statistics and ProbabilityOrdinal dataMultivariate statisticsComputer sciencebusiness.industryOrdinal ScaleDecision treeGeneral Social SciencesDecision tree Ordinal response Student Evaluation of Teaching Distances02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesOrdinal regression010104 statistics & probabilityStatistics0202 electrical engineering electronic engineering information engineeringProfiling (information science)020201 artificial intelligence & image processingTree (set theory)Artificial intelligence0101 mathematicsbusinesscomputerOrdinal response
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Tests of Linearity, Multivariate Normality and the Adequacy of Linear Scores

1994

After some discussion of the purposes of testing multivariate normality, the paper concentrates on two different approaches to testing linearity: on repeated regression tests of non-linearity and on exploiting properties of a dichotomized normal distribution. Regression tests of linearity are used to examine the adequacy of linear scoring systems for explanatory variables, initially recorded on an ordinal scale. Examples from recent psychological and medical research are given in which the methods have led to some insight into subject-matter.

Statistics and ProbabilityOrdinal dataNormal distributionNormality testRegression testingOrdinal ScaleStatisticsEconometricsMultivariate normal distributionVariance (accounting)Statistics Probability and UncertaintyStatistical hypothesis testingMathematicsApplied Statistics
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On multi-scale percolation behaviour of the effective conductivity for the lattice model

2015

Macroscopic properties of heterogeneous media are frequently modelled by regular lattice models, which are based on a relatively small basic cluster of lattice sites. Here, we extend one of such models to any cluster's size kxk. We also explore its modified form. The focus is on the percolation behaviour of the effective conductivity of random two- and three-phase systems. We consider only the influence of geometrical features of local configurations at different length scales k. At scales accessible numerically, we find that an increase in the size of the basic cluster leads to characteristic displacements of the percolation threshold. We argue that the behaviour is typical of materials, w…

Statistics and ProbabilityPercolation critical exponentsStatistical Mechanics (cond-mat.stat-mech)FOS: Physical sciencesRegular latticePercolation thresholdMulti-scale analysis; Percolation; Lattice model; Effective mediumConductivityCondensed Matter PhysicsLattice (order)Continuum percolation theoryStatistical physicsCondensed Matter - Statistical MechanicsMathematics
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Varying-time random effects models for longitudinal data: unmixing and temporal interpolation of remote-sensing data

2008

Remote sensing is a helpful tool for crop monitoring or vegetation-growth estimation at a country or regional scale. However, satellite images generally have to cope with a compromise between the time frequency of observations and their resolution (i.e. pixel size). When concerned with high temporal resolution, we have to work with information on the basis of kilometric pixels, named mixed pixels, that represent aggregated responses of multiple land cover. Disaggreggation or unmixing is then necessary to downscale from the square kilometer to the local dynamic of each theme (crop, wood, meadows, etc.). Assuming the land use is known, that is to say the proportion of each theme within each m…

Statistics and ProbabilityPixelCovariance functionComputer scienceEstimatorLand coverStatistics Probability and UncertaintyBest linear unbiased predictionRandom effects modelScale (map)Remote sensingDownscalingJournal of Applied Statistics
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Some Remarks on Exponential Families

1987

Abstract The following facts may serve to provide a feeling about how restrictive the assumption of an exponential family is. (a) A one-parameter exponential family in standard form with respect to Lebesgue measure is a location parameter family iff it is normal with fixed variance. (b) It is a scale parameter family iff it is gamma with fixed shape parameter. Both facts are known (see Borges and Pfanzagl 1965; Ferguson 1962; Lindley 1958) but may not have received as much attention as they deserve. Under the assumption of differentiable densities, short and elementary proofs are given.

Statistics and ProbabilityPure mathematicsLocation parameterLebesgue measureGeneral MathematicsLocation-scale familyShape parameterExponential familyCalculusDifferentiable functionStatistics Probability and UncertaintyNatural exponential familyScale parameterMathematicsThe American Statistician
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Electron Fabry-Perot interferometer with two entangled magnetic impurities

2007

We consider a one-dimensional (1D) wire along which single conduction electrons can propagate in the presence of two spin-1/2 magnetic impurities. The electron may be scattered by each impurity via a contact-exchange interaction and thus a spin-flip generally occurs at each scattering event. Adopting a quantum waveguide theory approach, we derive the stationary states of the system at all orders in the electron-impurity exchange coupling constant. This allows us to investigate electron transmission for arbitrary initial states of the two impurity spins. We show that for suitable electron wave vectors, the triplet and singlet maximally entangled spin states of the impurities can respectively…

Statistics and ProbabilityQUANTUM WIRESQuantum decoherenceSpin statesFOS: Physical sciencesGeneral Physics and AstronomyElectron01 natural sciences010305 fluids & plasmasMesoscale and Nanoscale Physics (cond-mat.mes-hall)0103 physical sciencesSCATTERINGSinglet state010306 general physicsMathematical PhysicsPhysicsCoupling constantINTERFERENCEQuantum PhysicsCondensed matter physicsCondensed Matter - Mesoscale and Nanoscale PhysicsScatteringStatistical and Nonlinear Physics3. Good healthModeling and SimulationCondensed Matter::Strongly Correlated ElectronsQuantum Physics (quant-ph)Electron scatteringStationary state
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