Search results for " Probability"

showing 10 items of 2176 documents

Multimodal and multicriteria analysis for VLSI expertises and defects localization

2017

The purpose of this manuscript is to exhibit the research work solving the issue of data processing stem from defect localization techniques. This step being decisive in the failure analysis process, scientists have to harness data coming from light emission and laser techniques. Nevertheless, this analysis process is sequential and only depends on the expert’s decision. This factor leads to a not quantified probability of localization. Consequently to solve these issues, a multimodal and multicriteria analysis has been developped, taking advantage of the heterogeneous andcomplementary nature of light emission and laser probing techniques. This kind of process is based on advanced level too…

Failure analysisdata fusionAnalyse de défaillancescircuits intégrés[SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronicsanalyse multimodale et multicritèrestraitement du signal/imagesignal/image processingVLSI[STAT] Statistics [stat]multimodal and criteria analysisdefect localizationlocalisation de défauts[PHYS.PHYS.PHYS-DATA-AN] Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an]fusion de données[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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A study on the degree of relationship between two individuals.

2000

The paper studies the likely degree of relationship between two individuals who could possibly be half sibs. The possible common ancestor was dead, which further complicated the problem. The model used was devised by Thompson [in Rao and Chakraborty (eds): Handbook of Statistics, North-Holland, Amsterdam, 1991] and establishes a correspondence between the possible degree of relationship and certain feasible probability distributions on the number of identical by descent genes. Two statistical approaches are considered: the classical one, in which the maximum likelihood estimation for the parameters of Thompson’s model are obtained, and the Bayesian one, in which the test of the hypothesis o…

Family HealthLikelihood FunctionsDegree (graph theory)GenotypeModels GeneticMaximum likelihoodBayesian probabilityBayes TheoremIdentity by descentPhenotypeRobustness (computer science)StatisticsHalf sibsGeneticsProbability distributionHumansMonte Carlo MethodGenetics (clinical)MathematicsHuman heredity
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Risk Assessment and Analysis

2014

Once threats are identified, they must be assessed or evaluated, which is the objective of this chapter. There is usually a large number of threats, making it impossible or unprofitable to analyze them all, meaning selection of the threats that will be addressed is important. It is a decision-making process; an example is proposed and solved by one of the many techniques available. The chapter proposes a very standard requested study, which is the assessment of the economic and financial risks of a project. This is done through a real-life-example, followed by another appraisal, this time devoted to economic issues, as well as another for transportation, introducing the important concept of…

Fault tree analysisRisk analysis (engineering)Probabilistic risk assessmentComputer scienceFinancial riskEntropy (information theory)Conditional probabilityRisk assessmentFailure mode and effects analysis
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Influence of economic crisis on new SME survival: reality or fiction?

2016

AbstractThe aim of this research was to analyse the survival of new ventures during periods of economic crisis. The article compares survival probability during growth and crisis periods. An empirical study was used to analyse new venture survival probability. Results show that new firms have a greater likelihood of surviving during crisis periods than they do during growth periods. An additional aim of the study was to analyse the survival probability of opportunity and necessity entrepreneurs during crisis periods. Results show that gaps in survival likelihood between opportunity and necessity entrepreneurship are bigger during times of crisis than they are during growth periods.

FinanceEconomics and EconometricsEntrepreneurshipOpportunity costbusiness.industryFinancial economics05 social sciencesNew VenturesDevelopmentEmpirical researchSurvival probabilityEconomic context0502 economics and businessEconomics050211 marketingBusiness and International Managementbusiness050203 business & managementEntrepreneurship & Regional Development
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Quantifying Structural Subsidy Values for Systemically Important Financial Institutions

2013

Abstract Claimants to Systemically Important Financial Institutions (SIFIs) would receive transfers when governments are forced into bailouts. Ex ante, this bailout expectation lowers SIFIs’ daily funding costs. The funding cost advantage reflects both the structural level of the government support and the time-varying market valuation for such a support. Based on a large worldwide sample of banks, we estimate the value of the structural subsidy, by exploiting expectations of state support embedded in credit ratings and by applying the long-run average value of the rating bonus. The value of the structural subsidy was already sizable, 60 basis points (bp), as of the end-2007, before the cri…

FinanceEconomics and EconometricsGovernmentEx-antebusiness.industrySubsidySample (statistics)Monetary economicsCredit ratingBasis pointGovernment Policy and Regulation Structure Scope and Performance of Government [Systemically important financial institutions;bank funding subsidy bank bailout probability financial institutions samples financial stability financial sector Financial Institutions and Services]Value (economics)EconomicsGeneral Earth and Planetary SciencesMarket valuebusinessFinanceGeneral Environmental ScienceBailout
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Robustness of the risk–return relationship in the U.S. stock market

2008

Abstract Using GARCH-in-Mean models, we study the robustness of the risk–return relationship in monthly U.S. stock market returns (1928:1–2004:12) with respect to the specification of the conditional mean equation. The issue is important because in this commonly used framework, unnecessarily including an intercept is known to distort conclusions. The existence of the relationship is relatively robust, but its strength depends on the prior belief concerning the intercept. The latter applies in particular to the first half of the sample, where also the coefficient of the relative risk aversion is smaller and the equity premium greater than in the latter half.

Financial economicsEquity premium puzzle05 social sciencesBayesian probabilitySample (statistics)Conditional expectation01 natural sciences010104 statistics & probability0502 economics and businessEconometricsEconomicsStock market0101 mathematicsRobustness (economics)Finance050205 econometrics Risk returnFinance Research Letters
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New Refinements of the McKay Conjecture for Arbitrary Finite Groups

2004

Let $G$ be an arbitrary finite group and fix a prime number $p$. The McKay conjecture asserts that $G$ and the normalizer in $G$ of a Sylow $p$-subgroup have equal numbers of irreducible characters with degrees not divisible by $p$. The Alperin-McKay conjecture is a version of this as applied to individual Brauer $p$-blocks of $G$. We offer evidence that perhaps much stronger forms of both of these conjectures are true.

Finite groupConjecture20C15Sylow theoremsPrime numberGroup Theory (math.GR)Centralizer and normalizerCollatz conjectureCombinatoricsMathematics::Group TheoryMathematics (miscellaneous)Character (mathematics)Symmetric groupFOS: MathematicsStatistics Probability and UncertaintyMathematics::Representation TheoryMathematics - Group TheoryMathematicsThe Annals of Mathematics
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Cartels Uncovered

2018

How many cartels are there? The answer is important in assessing the efficiency of competition policy. We present a Hidden Markov Model that answers the question, taking into account that often we do not know whether a cartel exists in an industry or not. Our model identifies key policy parameters from data generated under different competition policy regimes and may be used with time-series or panel data. We take the model to data from a period of legal cartels - Finnish manufacturing industries 1951 - 1990. Our estimates suggest that by the end of the period, almost all industries were cartelized.

Finnish-Soviet tradekilpailupolitiikkajel:L4001 natural sciencesjel:L41jel:L0jel:L60competition lawjel:L00010104 statistics & probabilitykartellit0502 economics and business050207 economics0101 mathematicsta511lainsäädäntöidänkauppa05 social scienceskorporativismiantitrust policykilpailuoikeuslaitAntitrust; cartel; competition; detection; Hidden Markov models; illegal; legal; leniency; policy; registry.jel:L4antitrust; cartel; competition; detection; Hidden Markov models; illegal; legal; leniency; policy; registrykilpailuGeneral Economics Econometrics and Financecartelscorporatism
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A Spatial Multilevel Analysis of Italian SMEs Productivity

2009

Abstract In this paper, we adapt multilevel analysis methods to investigate the spatial variability of SMEs' productivity across the Italian territory, and account for differences in the socio-economic context. Our results suggest that to properly capture the variability of the data, it is important to allow for both spatial mean and slope effects. Social decay has the expected negative impact. However, while this effect is larger on firms with smaller capital intensity, firms with higher capital intensity seem to be less affected by geography. Greater territorial heterogeneity emerges among those firms with lower capital to labour ratios. Une analyse spatiale a plusieurs niveaux de la prod…

Firm heterogeneity Spatial variability Socio-economic Context Multilevel AnalysisOperations researchWelfare economicsjel:C31Geography Planning and DevelopmentMultilevel modelContext (language use)socio-economic contextFirm heterogeneityGeographyCapital (economics)jel:R30Earth and Planetary Sciences (miscellaneous)Capital intensitySpatial variabilityspatial variabilitymultilevel analysisjel:R12Statistics Probability and Uncertaintyjel:R11General Economics Econometrics and FinanceProductivity
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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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