Search results for "SOFC"

showing 10 items of 660 documents

Design-based estimation for geometric quantiles with application to outlier detection

2010

Geometric quantiles are investigated using data collected from a complex survey. Geometric quantiles are an extension of univariate quantiles in a multivariate set-up that uses the geometry of multivariate data clouds. A very important application of geometric quantiles is the detection of outliers in multivariate data by means of quantile contours. A design-based estimator of geometric quantiles is constructed and used to compute quantile contours in order to detect outliers in both multivariate data and survey sampling set-ups. An algorithm for computing geometric quantile estimates is also developed. Under broad assumptions, the asymptotic variance of the quantile estimator is derived an…

Statistics and ProbabilityStatistics::TheoryTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESStatistics::ApplicationsComputingMethodologies_SIMULATIONANDMODELINGApplied MathematicsMathematicsofComputing_NUMERICALANALYSISUnivariateInformationSystems_DATABASEMANAGEMENTEstimatorStatistics::ComputationQuantile regressionHorvitz–Thompson estimatorComputational MathematicsDelta methodComputational Theory and MathematicsTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITYOutlierConsistent estimatorStatisticsStatistics::MethodologyMathematicsQuantileComputational Statistics & Data Analysis
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Contributed discussion on article by Pratola

2016

The author should be commended for his outstanding contribution to the literature on Bayesian regression tree models. The author introduces three innovative sampling approaches which allow for efficient traversal of the model space. In this response, we add a fourth alternative.

Statistics and Probabilitymodel selectionMarkov Chain Monte Carlo (MCMC)Bayesian regression treeComputer scienceBig dataBayesian regression tree (BRT) modelsComputingMilieux_LEGALASPECTSOFCOMPUTINGbirth–death processMachine learningcomputer.software_genreSequential Monte Carlo methods01 natural sciencespopulation Markov chain Monte Carlo010104 statistics & probabilitysymbols.namesakebig data0502 economics and businessBayesian Regression Trees (BART)0101 mathematics050205 econometrics Bayesian treed regressionMultiple Try Metropolis algorithmsINFERÊNCIA ESTATÍSTICAbusiness.industryApplied MathematicsModel selection05 social sciencesRejection samplingData scienceVariable-order Bayesian networkTree (data structure)Tree traversalMarkov chain Monte Carlocontinuous time Markov processsymbolsArtificial intelligencebusinessBayesian linear regressioncommunication-freecomputerGibbs samplingBayesian Analysis
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Higher order matrix differential equations with singular coefficient matrices

2015

In this article, the class of higher order linear matrix differential equations with constant coefficient matrices and stochastic process terms is studied. The coefficient of the highest order is considered to be singular; thus, rendering the response determination of such systems in a straightforward manner a difficult task. In this regard, the notion of the generalized inverse of a singular matrix is used for determining response statistics. Further, an application relevant to engineering dynamics problems is included.

Stochastic partial differential equationMatrix (mathematics)Constant coefficientsSingular solutionComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONMathematical analysisMathematicsofComputing_NUMERICALANALYSISMatrix analysisCoefficient matrixDifferential algebraic equationMatrix multiplicationMathematicsAIP Conference Proceedings
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Entstehen und Scheitern Strategischer Allianzen in der Telekommunikationsbranche

2001

Hungenberg (1998) has shown in this journal that strategic alliances have become an important strategic instrument in the telecommunications industry. Building up on this investigation we analyze the motives for the formation and failure of strategic alliances on the basis of a content analysis of the business newspaper “Handelsblatt” from 1995–1997. We show that in the telecommunications sector access to know-how and other resources as well as market access are the primary motives for the formation of strategic alliances. In contrast to other industries, cost and time advantages as motives are not relevant at all. The primary reason for the failure of strategic alliances was strategic reor…

Strategic planning05 social sciencesMarket accessComputingMilieux_LEGALASPECTSOFCOMPUTING050201 accountingGeneral Business Management and AccountingNewspaperContent analysisManagement of Technology and Innovation0502 economics and businessBusinessMarketingGeneral Economics Econometrics and Finance050203 business & managementIndustrial organizationStrategic financial managementSchmalenbachs Zeitschrift für betriebswirtschaftliche Forschung
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Set-valued stochastic integral equations driven by martingales

2012

Abstract We consider a notion of set-valued stochastic Lebesgue–Stieltjes trajectory integral and a notion of set-valued stochastic trajectory integral with respect to martingale. Then we use these integrals in a formulation of set-valued stochastic integral equations. The existence and uniqueness of the solution to such the equations is proven. As a generalization of set-valued case results we consider the fuzzy stochastic trajectory integrals and investigate the fuzzy stochastic integral equations driven by bounded variation processes and martingales.

Stratonovich integralContinuous-time stochastic processApplied MathematicsMathematical analysisMathematicsofComputing_NUMERICALANALYSISStochastic calculusRiemann–Stieltjes integralRiemann integralsymbols.namesakeQuantum stochastic calculusImproper integralsymbolsDaniell integralAnalysisMathematicsJournal of Mathematical Analysis and Applications
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Fuzzy Stochastic Integral Equations Driven by Martingales

2011

Exploiting the properties of set-valued stochastic trajectory integrals we consider a notion of fuzzy stochastic Lebesgue–Stieltjes trajectory integral and a notion of fuzzy stochastic trajectory integral with respect to martingale. Then we use these integrals in a formulation of fuzzy stochastic integral equations. We investigate the existence and uniqueness of solution to such the equations.

Stratonovich integralMathematical analysisMathematicsofComputing_NUMERICALANALYSISApplied mathematicsUniquenessMartingale (probability theory)Fuzzy logicStochastic integralMathematics
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Bayesian Estimation of Political Transition Matrices

1994

A decision framework is used to propose a procedure designed to estimate the reallocation of the vote of each individual party between two consecutive political elections, given the results of the elections, the information provided by a sample survey, and some assumptions on the hierarchical structure of the population.

Structure (mathematical logic)Politicseducation.field_of_studyBayes estimatorComputer sciencePolitical ElectionsPopulationEconometricsSurvey samplingComputingMilieux_LEGALASPECTSOFCOMPUTINGTransition matriceseducation
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Computation of the topological type of a real Riemann surface

2014

We present an algorithm for the computation of the topological type of a real compact Riemann surface associated to an algebraic curve, i.e., its genus and the properties of the set of fixed points of the anti-holomorphic involution τ \tau , namely, the number of its connected components, and whether this set divides the surface into one or two connected components. This is achieved by transforming an arbitrary canonical homology basis to a homology basis where the A \mathcal {A} -cycles are invariant under the anti-holomorphic involution  τ \tau .

Surface (mathematics)Algebra and Number TheoryApplied MathematicsRiemann surfaceMathematicsofComputing_GENERALHomology (mathematics)Type (model theory)TopologyComputational Mathematicssymbols.namesakeGenus (mathematics)symbolsAlgebraic curveCompact Riemann surfaceInvariant (mathematics)MathematicsMathematics of Computation
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Comment on “Surface diffusion near the points corresponding to continuous phase transitions” [J. Chem. Phys. 109, 3197 (1998)]

1999

It is well known that unlike static equilibrium properties, kinetic quantities in Monte Carlo simulations are very sensitive to the details of the algorithm used for the microscopic transition rates. This is particularly true near the critical region where fluctuations are pronounced. We demonstrate that when diffusion of oxygen adatoms near the order–disorder transition of a lattice-gas model of the O/W(110) model system is studied, the transition rates must be chosen carefully. In particular, we show that the choice by Uebing and Zhdanov [J. Chem. Phys. 109, 3197 (1998)] is inappropriate for the study of critical effects in diffusion.

Surface diffusionMechanical equilibriumContinuous phase modulationCondensed matter physicsW(110)ChemistryMonte Carlo methodGeneral Physics and AstronomyThermodynamicsBoundary (topology)ComputingMilieux_LEGALASPECTSOFCOMPUTINGKinetic energyNON-ARRHENIUS BEHAVIOROXYGENlaw.inventionMODELBOUNDARYlawPhysical and Theoretical ChemistryDiffusion (business)Phase diagramThe Journal of Chemical Physics
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On nature of mathematics. On mathematics and reality Par matemātikas dabu. Par matemātiku un realitāti

2007

Idea that mathematics should be considered as creative order in nature is considered.

T Technology (General)QC PhysicsBD Speculative PhilosophyQH301 BiologyMathematicsofComputing_GENERALQA Mathematics (General)Computer Science::General LiteratureBL Religion
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