Search results for "STATISTICS & PROBABILITY"

showing 10 items of 436 documents

Semiparametric stochastic frontier models: A generalized additive model approach

2017

Abstract The choice of the functional form of the frontier into a stochastic frontier model is typically neglected in applications and canonical functions are usually considered. This paper introduces a semiparametric approach for stochastic frontier estimation that extends previous works based on pseudo-likelihood estimators allowing flexibility in model selection and capability of imposing monotonicity and concavity constraints. For these purposes the present work introduces a generalized additive framework that moreover permits to model the influence of contextual/environmental factors to the hypothesized production process by the relative extension given by generalized additive models f…

Flexibility (engineering)Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceScale (ratio)Model selection05 social sciencesGeneralized additive modelEstimatorMonotonic functionManagement Science and Operations Research01 natural sciencesIndustrial and Manufacturing Engineering010104 statistics & probabilityModeling and Simulation0502 economics and businessData envelopment analysis050207 economics0101 mathematicsGeneralized additive model for location scale and shapeMathematics
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Conjunction of Conditional Events and t-Norms

2019

We study the relationship between a notion of conjunction among conditional events, introduced in recent papers, and the notion of Frank t-norm. By examining different cases, in the setting of coherence, we show each time that the conjunction coincides with a suitable Frank t-norm. In particular, the conjunction may coincide with the Product t-norm, the Minimum t-norm, and Lukasiewicz t-norm. We show by a counterexample, that the prevision assessments obtained by Lukasiewicz t-norm may be not coherent. Then, we give some conditions of coherence when using Lukasiewicz t-norm

Frank t-norm.Settore MAT/06 - Probabilita' E Statistica MatematicaConjunction02 engineering and technologyCoherence (statistics)01 natural sciencesConjunction (grammar)Mathematics::Logic010104 statistics & probabilitySettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Product (mathematics)0202 electrical engineering electronic engineering information engineeringCalculus020201 artificial intelligence & image processing0101 mathematicsCoherenceConditional EventCounterexampleMathematics
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On the fusion problem for degenerate elliptic equations

1995

Let F be a relatively closed subset of a Euclidean domain Ω. We investigate when solutions u to certain elliptic equations on Ω/F are restrictions of solutions on all of Ω. Specifically, we show that if ∂F is not too large, and u has a suitable decay rate near F, then u can be so extended.

FusionPure mathematicsPartial differential equationApplied Mathematics010102 general mathematicsDegenerate energy levelsMathematical analysisMathematical statistics01 natural sciences010104 statistics & probabilitySingularityEuclidean domain0101 mathematicsAnalysisMathematicsCommunications in Partial Differential Equations
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Analysis of the Past Lifetime in a Replacement Model through Stochastic Comparisons and Differential Entropy

2020

A suitable replacement model for random lifetimes is extended to the context of past lifetimes. At a fixed time u an item is planned to be replaced by another one having the same age but a different lifetime distribution. We investigate the past lifetime of this system, given that at a larger time t the system is found to be failed. Subsequently, we perform some stochastic comparisons between the random lifetimes of the single items and the doubly truncated random variable that describes the system lifetime. Moreover, we consider the relative ratio of improvement evaluated at x &isin

General MathematicsReliability (computer networking)Context (language use)02 engineering and technologystochastic ordersLifetime distribution01 natural sciencesMeasure (mathematics)differential entropyDifferential entropy010104 statistics & probabilitystochastic neuronal modelFixed time0202 electrical engineering electronic engineering information engineeringComputer Science (miscellaneous)Applied mathematicsreliability; replacement model; stochastic orders; differential entropy; stochastic neuronal modelreplacement model0101 mathematicsEngineering (miscellaneous)Mathematicsreliabilitylcsh:Mathematicslcsh:QA1-939020201 artificial intelligence & image processingReplacement procedureRandom variableMathematics
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Random cutout sets with spatially inhomogeneous intensities

2015

We study the Hausdorff dimension of Poissonian cutout sets defined via inhomogeneous intensity measures on Ahlfors-regular metric spaces. We obtain formulas for the Hausdorff dimension of such cutouts in self-similar and self-conformal spaces using the multifractal decomposition of the average densities for the natural measures.

General MathematicsStructure (category theory)Hausdorff dimensionDynamical Systems (math.DS)01 natural sciencesMeasure (mathematics)010104 statistics & probabilityCorollaryDimension (vector space)Classical Analysis and ODEs (math.CA)FOS: MathematicsMathematics::Metric Geometry0101 mathematicsMathematics - Dynamical SystemsMathematicsmatematiikkaHausdorffin dimensioProbability (math.PR)010102 general mathematicsMathematical analysisMultifractal systemPoissonian CutoutMetric spaceMathematics - Classical Analysis and ODEsHausdorff dimensionPrimary 60D05 Secondary 28A80 37D35 37C45Intensity (heat transfer)Mathematics - Probability
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Curve packing and modulus estimates

2018

A family of planar curves is called a Moser family if it contains an isometric copy of every rectifiable curve in $\mathbb{R}^{2}$ of length one. The classical "worm problem" of L. Moser from 1966 asks for the least area covered by the curves in any Moser family. In 1979, J. M. Marstrand proved that the answer is not zero: the union of curves in a Moser family has always area at least $c$ for some small absolute constant $c > 0$. We strengthen Marstrand's result by showing that for $p > 3$, the $p$-modulus of a Moser family of curves is at least $c_{p} > 0$.

General MathematicsTHIN SETModulusconformal modulus01 natural sciencesThin setpotential theoryCombinatoricsNull set010104 statistics & probabilityPlanarCIRCLESMathematics - Metric GeometryClassical Analysis and ODEs (math.CA)FOS: Mathematics111 Mathematics0101 mathematicsAbsolute constantMathematicsMoser familyApplied Mathematicsta111010102 general mathematicsMathematical analysisZero (complex analysis)Metric Geometry (math.MG)28A75 (Primary) 31A15 60CXX (Secondary)measure theoryMathematics - Classical Analysis and ODEsFamily of curvespotentiaaliteoriamittateoriaMEASURE ZEROcurve packing problems
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On a Retarded Nonlocal Ordinary Differential System with Discrete Diffusion Modeling Life Tables

2021

In this paper, we consider a system of ordinary differential equations with non-local discrete diffusion and finite delay and with either a finite or an infinite number of equations. We prove several properties of solutions such as comparison, stability and symmetry. We create a numerical simulation showing that this model can be appropriate to model dynamical life tables in actuarial or demographic sciences. In this way, some indicators of goodness and smoothness are improved when comparing with classical techniques.

General Mathematicslattice dynamical systemslife tables010103 numerical & computational mathematics:CIENCIAS ECONÓMICAS [UNESCO]01 natural sciencesStability (probability)010104 statistics & probabilitydiscrete nonlocal diffusion problemsComputer Science (miscellaneous)Applied mathematics0101 mathematicsDiffusion (business)Engineering (miscellaneous)MathematicsDiffusion modelingSmoothness (probability theory)Computer simulationlcsh:MathematicsUNESCO::CIENCIAS ECONÓMICASlcsh:QA1-939Symmetry (physics)Ordinary differential systemordinary differential equationsOrdinary differential equationretarded equationsMathematics
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On the fractional probabilistic Taylor's and mean value theorems

2016

In order to develop certain fractional probabilistic analogues of Taylor's theorem and mean value theorem, we introduce the nth-order fractional equilibrium distribution in terms of the Weyl fractional integral and investigate its main properties. Specifically, we show a characterization result by which the nth-order fractional equilibrium distribution is identical to the starting distribution if and only if it is exponential. The nth-order fractional equilibrium density is then used to prove a fractional probabilistic Taylor's theorem based on derivatives of Riemann-Liouville type. A fractional analogue of the probabilistic mean value theorem is thus developed for pairs of nonnegative rand…

Generalized Taylor’s formulaMean value theoremSurvival bounded order01 natural sciencesStochastic ordering010104 statistics & probabilityCharacterization of exponential distribution; Fractional calculus; Fractional equilibrium distribution; Generalized Taylor’s formula; Mean value theorem; Survival bounded orderFOS: MathematicsCharacterization of exponential distributionApplied mathematics0101 mathematicsMathematicsComputer Science::Information RetrievalApplied MathematicsProbability (math.PR)010102 general mathematicsProbabilistic logic60E99 26A33 26A24Fractional calculusFractional equilibrium distributionFractional calculusExponential functionDistribution (mathematics)Bounded functionMean value theorem (divided differences)Random variableAnalysisMathematics - Probability
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Weighted-average least squares estimation of generalized linear models

2018

The weighted-average least squares (WALS) approach, introduced by Magnus et al. (2010) in the context of Gaussian linear models, has been shown to enjoy important advantages over other strictly Bayesian and strictly frequentist model averaging estimators when accounting for problems of uncertainty in the choice of the regressors. In this paper we extend the WALS approach to deal with uncertainty about the specification of the linear predictor in the wider class of generalized linear models (GLMs). We study the large-sample properties of the WALS estimator for GLMs under a local misspecification framework that allows the development of asymptotic model averaging theory. We also investigate t…

Generalized linear modelEconomics and EconometricsGeneralized linear modelsBayesian probabilityGeneralized linear modelSettore SECS-P/05 - EconometriaLinear predictionContext (language use)01 natural sciencesLeast squares010104 statistics & probabilityWALS; Model averaging; Generalized linear models; Monte Carlo; AttritionFrequentist inference0502 economics and businessAttritionEconometricsApplied mathematicsStatistics::Methodology0101 mathematicsMonte Carlo050205 econometrics MathematicsWALSApplied Mathematics05 social sciencesLinear modelEstimatorModel averaging
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Eight Simple Guidelines for Improved Understanding of Transformations and Nonlinear Effects

2021

Jyväskylästä kirjoitettiin: Käyn läpi Extra-Vipusessa ristiriitaisiksi luokitettuja yhteisjulkaisuja. Julkaisu " Eight Simple Guidelines for Improved Understanding of Transformations and Nonlinear Effects" on meillä laitettu A2 ja teillä A1. Meillä varmaan päädytty tuohon A2:een kun tiivistelmässä sanotaan "Building on a systematic review of six leading management journals..". Mutta mitä mieltä olette, kumpi olisi parempi? Transforming variables before analysis or applying a transformation as a part of a generalized linear model are common practices in organizational research. Several methodological articles addressing the topic, either directly or indirectly, have been published in the rec…

Generalized linear modelStrategy and ManagementGeneral Decision SciencesLogistic regressiontransformationsorganisaatiotutkimus01 natural scienceslineaariset mallitPoisson regression010104 statistics & probabilitysymbols.namesakeregressioanalyysiSimple (abstract algebra)Management of Technology and Innovation0502 economics and businessApplied mathematicsPoisson regression0101 mathematicstilastolliset mallitMathematicslogistic regression05 social sciencesVisualizationNonlinear systemTransformation (function)generalized linear modelsymbols050203 business & management
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