Search results for "Probability Distribution"

showing 10 items of 263 documents

On the Statistical Analysis of Equal Gain Combining over Multiple Double Rice Fading Channels in Cooperative Networks

2010

This article analyzes the statistical properties of narrowband mobile-to-mobile (M2M) fading channels with equal gain combining (EGC) under line-of-sight (LOS) propagation conditions. Here, we study a dual-hop amplify-and-forward (AF)relay network. It is assumed that there can exist LOS components in the transmission links between the source mobile station and the destination mobile station via K mobile relays. In order to cater for asymmetric fading conditions in the relay links, the received signal envelope at the output of the equal gain (EG) combiner is thus modeled as a sum of K double Rice processes. These processes are considered to be independent but not necessarily identically dist…

Independent and identically distributed random variablesbusiness.industryComputer scienceCumulative distribution functionComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSData_CODINGANDINFORMATIONTHEORYTopologylaw.inventionNarrowbandRelaylawMobile stationComputer Science::Networking and Internet ArchitectureElectronic engineeringWirelessProbability distributionFadingbusinessComputer Science::Information TheoryCommunication channel2010 IEEE 72nd Vehicular Technology Conference - Fall
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On an Inequality for Legendre Polynomials

2020

This paper is concerned with the orthogonal polynomials. Upper and lower bounds of Legendre polynomials are obtained. Furthermore, entropies associated with discrete probability distributions is a topic considered in this paper. Bounds of the entropies which improve some previously known results are obtained in terms of inequalities. In order to illustrate the results obtained in this paper and to compare them with other results from the literature some graphs are provided.

Inequalitylcsh:MathematicsGeneral Mathematicsmedia_common.quotation_subject010102 general mathematicsGegenbauerlcsh:QA1-939Legendre01 natural sciencesChebyshev filterUpper and lower bounds010101 applied mathematicsChebyshevOrthogonal polynomialsComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONComputer Science (miscellaneous)Probability distributionOrder (group theory)Applied mathematics0101 mathematicsEngineering (miscellaneous)Legendre polynomialshypergeometric representationmedia_commonMathematicsMathematics
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Radon transform as a set of probability distributions

2009

It is proved that the Radon transform of the Wigner function gives the probability distributions related to measuring the observable operators obtained as linear combinations of position and momentum of the relevant particle. The generalization to an arbitrary number of degrees of freedom is given.

Integral transformsOptical tomographySettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciRadon transformCharacteristic function (probability theory)Mathematical analysisWigner semicircle distributionCondensed Matter PhysicsConvolution of probability distributionsAtomic and Molecular Physics and OpticsSettore FIS/03 - Fisica Della MateriaRegular conditional probabilityProbability distributionWigner distribution functionQuantum tomographyMathematical PhysicsMathematicsK-distribution
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Response spectrum analysis of frame structures: reliability-based comparison between complete quadratic combination and damping-adjusted combination

2019

In the framework of seismic design of structures, response spectrum analysis (RSA) is the most commonly used approach in practice. The most popular combination rule is the complete quadratic combination (CQC) which is also prescribed by the most of seismic design codes and is based on the assumptions that the seismic acceleration is a white noise process and the peak factor ratios associated to the total and modal responses are unitary. Recently, the damping adjusted combination (DAC) rule has been developed for base-isolated structures to overcome the aforementioned simplified assumptions. Although it has been proved that the simplifications about peak factors lead to noticeable errors in …

Joint PDFComplete quadratic combination (CQC); Damping-adjusted combination (DAC); Joint PDF; Reliability assessment; Response spectrum analysis (RSA); Time history analysis (THA); Civil and Structural Engineering; Building and Construction; Geotechnical Engineering and Engineering Geology; Geophysics021110 strategic defence & security studiesResponse spectrum analysis (RSA)Reliability assessment0211 other engineering and technologiesTorsion (mechanics)02 engineering and technologyBuilding and ConstructionWhite noiseGeotechnical Engineering and Engineering GeologySeismic analysisGeophysicsQuadratic equationModalDamping-adjusted combination (DAC)Joint probability distributionLog-normal distributionTime history analysis (THA)Response spectrumAlgorithmComplete quadratic combination (CQC)Civil and Structural EngineeringMathematicsBulletin of Earthquake Engineering
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Horizontal inequity comparisons

1998

In this paper, we expound the idea that horizontal inequity (HI) in different tax systems be compared by transplanting the HI from one tax system into the other, as a mapping between its pre- and post-tax living standard distributions, and then applying known results to compare the extent of association present in the two joint distributions. We make this idea operational by means of axioms which, we show, lead to an implementable procedure based on the `copula'. Statistical inference procedures are discussed, and illustrative empirical exercises are undertaken for the UK, Canadian and Israeli tax and benefit systems.

Joint probability distributionStatistical inferenceEconomicsAssociation (psychology)Mathematical economicsAxiomPublic financeWorking Paper Series
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Handling Context-Sensitive Temporal Knowledge from Multiple Differently Ranked Sources

1999

In this paper we develop one way to represent and reason with temporal relations in the context of multiple experts. Every relation between temporal intervals consists of four endpoints’ relations. It is supposed that the context we know is the value of every expert competence concerning every endpoint relation. Thus the context for an interval temporal relation is one kind of compound expert’s rank, which has four components appropriate to every interval endpoints’ relation. Context is being updated after every new opinion is being added to the previous opinions about certain temporal relation. The context of a temporal relation collects all support given by different experts to all compon…

Knowledge representation and reasoningComputer sciencebusiness.industryProbability distributionData miningArtificial intelligencecomputer.software_genrebusinessKnowledge acquisitioncomputerWeighted arithmetic meanNatural language processing
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The Duality of Entropy/Extropy, and Completion of the Kullback Information Complex

2018

The refinement axiom for entropy has been provocative in providing foundations of information theory, recognised as thoughtworthy in the writings of both Shannon and Jaynes. A resolution to their concerns has been provided recently by the discovery that the entropy measure of a probability distribution has a dual measure, a complementary companion designated as &ldquo

Kullback–Leibler divergenceSettore MAT/06 - Probabilita' E Statistica MatematicaLogarithmGeneral Physics and Astronomylcsh:Astrophysics02 engineering and technologyBregman divergenceMathematical proofInformation theory01 natural sciencesArticle010104 statistics & probabilityFermi–Dirac entropyKullback symmetric divergencelcsh:QB460-4660202 electrical engineering electronic engineering information engineeringEntropy (information theory)0101 mathematicslcsh:Sciencerelative entropy/extropyAxiomMathematics020206 networking & telecommunicationslcsh:QC1-999total logarithmic scoring ruleProbability distributiondualityPareto optimal exchangelcsh:QprevisionextropySettore SECS-S/01 - StatisticaentropyMathematical economicslcsh:PhysicsEntropy
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A characterization of the distribution of a weighted sum of gamma variables through multiple hypergeometric functions

2008

Applying the theory on multiple hypergeometric functions, the distribution of a weighted convolution of Gamma variables is characterized through explicit forms for the probability density function, the distribution function and the moments about the origin. The main results unify some previous contributions in the literature on nite convolution of Gamma distributions. We deal with computational aspects that arise from the representations in terms of multiple hypergeometric functions, introducing a new integral representation for the fourth Lauricella function F (n) D and its con uent form (n) 2 , suitable for numerical integration; some graphics of the probability density function and distr…

Lauricella functionConfluent hypergeometric functionmultiple numerical integration.Applied MathematicsGeneralized gamma distributionMathematical analysisdouble Dirichlet averagecon uent hypergeometric functionMoment-generating functionConvolution of probability distributionsGeneralized hypergeometric functionWeighted Gamma ConvolutionDirichlet averageGeneralized integer gamma distributionApplied mathematicsSettore SECS-S/01 - StatisticaIncomplete gamma functionAnalysisInverse-gamma distributionMathematicsIntegral Transforms and Special Functions
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Monte Carlo simulation in phylogenies: an application to test the constancy of evolutionary rates.

1994

Monte Carlo simulation has commonly been used in phylogenetic studies to test different tree-reconstruction methods, and consequently, its application for testing evolutionary models can be considered as a natural extension of this usage. Repetitive simulation of a given evolutionary process, under the restrictions imposed by the model to be tested, along a determinate tree topology allow the estimate of probability distributions for the desired parameters. Next, the phylogenetic tree can be reconstructed again without the constraints of the model, and the parameter of interest, derived from this tree, can be compared to the corresponding probability distribution derived from the restricted…

Least-squares methodBiometryMonte Carlo methodCytochrome c GroupBiologySet (abstract data type)Hybrid Monte Carlosymbols.namesakeGeneticsAnimalsHumansComputer SimulationMolecular BiologyEcology Evolution Behavior and SystematicsMonte Carlo simulationPhylogenyPhylogenetic treeModels GeneticMolecular clockEvolutionary ratesMarkov chain Monte CarloTree (data structure)Genetic TechniquesMutationsymbolsProbability distributionCytochrome-cAlgorithmMonte Carlo MethodMonte Carlo molecular modelingParametric bootstrapJournal of molecular evolution
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Selectivity in Probabilistic Causality: Where Psychology Runs Into Quantum Physics

2011

Given a set of several inputs into a system (e.g., independent variables characterizing stimuli) and a set of several stochastically non-independent outputs (e.g., random variables describing different aspects of responses), how can one determine, for each of the outputs, which of the inputs it is influenced by? The problem has applications ranging from modeling pairwise comparisons to reconstructing mental processing architectures to conjoint testing. A necessary and sufficient condition for a given pattern of selective influences is provided by the Joint Distribution Criterion, according to which the problem of "what influences what" is equivalent to that of the existence of a joint distr…

Linear programming81P05 (Primary) 91E99 (Secondary)media_common.quotation_subjectFOS: Physical sciencesMathematics - Statistics TheoryQuantum entanglementStatistics Theory (math.ST)System of linear equations01 natural sciencesQuantitative Biology - Quantitative Methods050105 experimental psychologyCausality (physics)Joint probability distributionQuantum mechanics0103 physical sciencesFOS: Mathematics0501 psychology and cognitive sciences010306 general physicsSet (psychology)ta515General PsychologyQuantitative Methods (q-bio.QM)media_commonta113ta112Quantum PhysicsVariablesta114Applied Mathematicsta11105 social sciencesFOS: Biological sciencesPhysics - Data Analysis Statistics and ProbabilityQuantum Physics (quant-ph)Random variableData Analysis Statistics and Probability (physics.data-an)
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