Search results for "Averaging"

showing 10 items of 47 documents

Using Induced Ordered Weighted Averaging (IOWA) Operators for Aggregation in Cross-Efficiency Evaluations

2014

This paper proposes an enhancement of the cross-efficiency evaluation through the aggregation of cross-efficiencies by using a particular type of induced ordered weighted averaging IOWA operator. The use of a weighted average of cross-efficiencies for the calculation of the cross-efficiency scores, instead of the usual arithmetic mean, allows us to introduce some flexibility into the analysis. In particular, the main purpose of the approach we present is to provide aggregation weights that reflect the decision maker DM preferences regarding the relative importance that should be attached to the cross-efficiencies provided by the different decision-making units. To do it, an ordering is to b…

business.industryType (model theory)Theoretical Computer ScienceHuman-Computer InteractionVariable (computer science)Matrix (mathematics)Operator (computer programming)Artificial IntelligenceArtificial intelligencebusinessOrdered weighted averaging aggregation operatorWeighted arithmetic meanAlgorithmRowSoftwareMathematicsArithmetic meanInternational Journal of Intelligent Systems
researchProduct

Mathematical Models and their Solutions for Domains of Compex Form

2014

Promocijas darbā tiek apskatīti dažādi oriģināli modeļi un to risinājumi sarežģītas formas apgabaliem. Intensīvās tērauda rūdīšanas procesi sistēmām ar ribām tiek aprakstīti ar 3D hiperbolisko, kā arī ar klasisko siltuma vadīšanas vienādojumu. Precīzā atrisinājuma iegūšanai izmantota Grīna funkciju metode un tās vispārinājums. Modernajos datoros sastopamajām sistēmām ar dubulsieniņu un dubultribu dota stacionārā un nestacionārā siltumvadīšanas problēma 2D gadījumā. Tās risinājums tiek iegūts ar konservatīvās viduvēšanas metodi, galīgo diferenču metodi un tās modifikāciju robežnosacījumiem. Piedāvāts jauns matemātiskais modelis vītola flautai, problēmas formulējumā izmantojot 1D lineāru viļņ…

galīgo diferenču metodeL-shape samplewillow fluteMathematical modellingMatemātiskā modelēšanakonservatīvā viduvēšanavītola flautaheat conduction equationssistēmas ar dubultsieniņu un dubultribuL-veida apgabalsGreen’s functionmethod of separation of variablesdouble wall with double finssiltuma vadīšanas vienādojumiGrīna funkcijamainīgo atdalīšanas metodeMatemātikawave equationviļņu vienādojumsconservative averagingMathematicsfinite difference method
researchProduct

Stability analysis of rotor whirl under nonlinear internal friction by a general averaging approach

2016

The two main sources of internal friction in a rotor-shaft system are the shaft structural hysteresis and the possible shrink-fit release of the assembly. The internal friction tends to destabilize the over-critical rotor running, but a remedy against this effect may be provided by a proper combination of some external damping in the supports and an anisotropic arrangement of the support stiffness, or at most by the support damping alone, depending on the system geometry. The present analysis reported here considers a general asymmetric rotor-shaft system, where the rotor is perfectly rigid and is constrained by viscous–flexible supports having different stiffnesses on two orthogonal plane…

Engineeringbusiness.industryRotor (electric)Mechanical EngineeringAerospace Engineering02 engineering and technologySettore ING-IND/13 - Meccanica Applicata Alle Macchine01 natural sciencesStability (probability)Internal frictionAveraging approach nonlinear rotor-shaft hysteresis overcritical whirl rotor-dynamicslaw.inventionNonlinear systemHysteresis020303 mechanical engineering & transports0203 mechanical engineeringMechanics of MaterialsControl theorylaw0103 physical sciencesAutomotive EngineeringGeneral Materials Sciencebusiness010301 acousticsJournal of Vibration and Control
researchProduct

19F-MRT der Lungenventilation in Atemanhaltetechnik mittels SF6-Gas

2000

Breathhold 19 F-Magnetic Resonance Imaging of Lung Ventilation using SF 6 Gas. Objective: Development of a method to analyze lung ventilation by 19 F-magnetic resonance imaging (MRI) of inspired SF 6 gas during breathhold. Material and Methods: Measurements were performed with a Siemens Magnetom Vision 1.5T scanner using the conventional gradient overdrive. Coronal images of the lung were acquired using ultrafast gradient-echo pulse sequences with TR/TE/α = 1.4 ms/ 0.48 ms/40° without slice selection. With NEX = 200 averages and MA = 32 × 64 raw data matrix, the acquisition time was 9s/image. Higher spatial resolution of 4.7 × 6.3 × 15 mm 3 was obtained with a three-dimensional pulse sequen…

ScannerMaterials sciencebusiness.industryPulse (signal processing)Image qualityPulse sequenceNuclear magnetic resonanceSignal-to-noise ratio (imaging)Slice selectionRadiology Nuclear Medicine and imagingSignal averagingNuclear medicinebusinessImage resolutionRöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
researchProduct

Probing slow fluctuations in nonergodic systems: Interleaved sampling technique

2007

We present a new dynamic light scattering scheme to obtain ensemble-averaged correlation functions of slow fluctuations in non-ergodic systems in an efficient way. On a rotating sample, a large set of separate correlation functions is measured in parallel, for each independent orientational component of the sample’ density fluctuations. The ensemble-averaged correlation function spans a lag time range from 1 to 104 s. We describe our first implementation of this technique, discuss its statistical accuracy and show first results. Compared to plain ensemble averaging over a series of N measurements, the total measurement time is usualy reduced by a factor N without significant degradation of …

PhysicsCorrelationCorrelation function (statistical mechanics)Series (mathematics)Dynamic light scatteringComponent (thermodynamics)Ensemble averagingRange (statistics)Statistical physicsSample (graphics)
researchProduct

Quantum Hopfield Model

2020

We find the free-energy in the thermodynamic limit of a one-dimensional XY model associated to a system of N qubits. The coupling among the &sigma

Self-averagingneuraalilaskentaneuroverkotoverlap parameters01 natural sciencesfree-energy010305 fluids & plasmasCombinatoricsdisordered systems0103 physical sciencesRange (statistics)patternskvantti-informaatio010306 general physicsQuantumself-averagingRandomnessPhysicskvanttitietokoneetClassical XY modellcsh:QC1-999TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESQubitThermodynamic limitRandom variablelcsh:PhysicsPhysics
researchProduct

Stochastic algorithms for robust statistics in high dimension

2016

This thesis focus on stochastic algorithms in high dimension as well as their application in robust statistics. In what follows, the expression high dimension may be used when the the size of the studied sample is large or when the variables we consider take values in high dimensional spaces (not necessarily finite). In order to analyze these kind of data, it can be interesting to consider algorithms which are fast, which do not need to store all the data, and which allow to update easily the estimates. In large sample of high dimensional data, outliers detection is often complicated. Nevertheless, these outliers, even if they are not many, can strongly disturb simple indicators like the me…

Stochastic AlgorithmsAlgorithmes StochastiquesAlgorithmes RécursifsRecursive AlgorithmsStatistique RobusteAlgorithmes de Gradient StochastiquesAveragingStochastic Gradient AlgorithmsMoyennisationGrande DimensionRobust StatisticsFunctional DataDonnées Fonctionnelles[MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]Geometric MedianHigh DimensionMédiane Géométrique
researchProduct

Regression with imputed covariates: A generalized missing-indicator approach

2011

A common problem in applied regression analysis is that covariate values may be missing for some observations but imputed values may be available. This situation generates a trade-off between bias and precision: the complete cases are often disarmingly few, but replacing the missing observations with the imputed values to gain precision may lead to bias. In this paper, we formalize this trade-off by showing that one can augment the regression model with a set of auxiliary variables so as to obtain, under weak assumptions about the imputations, the same unbiased estimator of the parameters of interest as complete-case analysis. Given this augmented model, the bias-precision trade-off may the…

Economics and EconometricsApplied MathematicsRegression analysisMissing dataRegressionSet (abstract data type)Reduction (complexity)Economic dataBias of an estimatorStatisticsCovariateMissing covariates ImputationsBias precision trade-off Model reduction Model averaging BMI and incomeEconometricsStatistics::MethodologyC12C13C19Missing covariatesImputationsBias-precision trade-offModel reductionModel averagingBMI and incomeMathematics
researchProduct

Assessment of Modelling Structure and Data Availability Influence on Urban Flood Damage Modelling Uncertainty

2014

Abstract In modelling application, different model structures may be equally reliable in terms of calibration ability but they may produce different uncertainty levels; moreover, available data during model calibration may influence the uncertainty linked to the predictions of the same modelling structure. In the present paper, Bayesian model-averaging was applied to several flood damage estimation models in order to identify the best model combination for urban flooding distribution analysis in Palermo city center (Italy). During the analysis, was taken into account the effect of the available data growth on the model uncertainty with respect to the different combination of models outputs.

Structure (mathematical logic)Flood mythCalibration (statistics)flooding damage evaluationBayesian probabilityFlooding (psychology)General MedicineData availabilityBayesian Model-AveragingEconometricsEnvironmental scienceSensitivity analysisuncertainty analysis.Engineering(all)Uncertainty analysisProcedia Engineering
researchProduct

Model uncertainty and variable selection: an application to the modelization of FDI determinants in Europe

2019

Las últimas décadas han visto un interés cada vez mayor en la IED, y un debate creciente sobre su modelización en términos de las variables consideradas como sus determinantes, la especificación del modelo y los métodos de estimación del modelo de gravedad de la IED. Esto se debe a la incertidumbre que rodea tanto las teorías como los enfoques empíricos de la IED. Esta Tesis doctoral tiene como objetivo contribuir a la literatura mediante la investigación de las fuerzas impulsoras de las actividades de las EMNs hacia y desde los países europeos, tanto a nivel regional como nacional, abordando los problemas de selección de variables e incertidumbre del modelo que se enfrentan al modelizar la…

gravity model:CIENCIAS ECONÓMICAS::Econometría::Modelos econométricos [UNESCO]UNESCO::CIENCIAS ECONÓMICAS::Economía internacionalgeneralized linear modelsgermanyUNESCO::CIENCIAS ECONÓMICAS::Econometría::Modelos econométricosbayesian model averagingspanish regions:CIENCIAS ECONÓMICAS::Economía internacional::Inversión exterior [UNESCO]:CIENCIAS ECONÓMICAS::Economía internacional [UNESCO]UNESCO::CIENCIAS ECONÓMICAS::Economía internacional::Inversión exteriorforeign direct investment determinantsvariable selection
researchProduct