Search results for "STATISTICS"

showing 10 items of 7671 documents

The Influence of the Severity of Fading and Shadowing on the Statistical Properties of the Capacity of Nakagami-Lognormal Channels

2008

This paper deals with the study of the statistical properties of the capacity of Nakagami-lognormal (NLN) channels for various fading environments. Specifically, the impact of shadowing and the severity of fading on the channel capacity is investigated. We have derived analytical expressions for the probability density function (PDF), cumulative distribution function (CDF), level-crossing rate (LCR), and average duration of fades (ADF) of the channel capacity. These results are analyzed for different levels of shadowing and for various fading conditions, corresponding to different terrestrial environments. It is observed that the severity of fading and shadowing has a significant influence …

Channel capacityFading distributionComputer scienceCumulative distribution functionLog-normal distributionStatisticsNakagami distributionFadingComputer Science::Information TheoryCommunication channelRayleigh fadingIEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference
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Statistical properties of the capacity of multipath fading channels

2009

It is well known that a frequency-nonselective multipath fading channel can be modeled by a sum of complex sinusoids, also called sum-of-cisoids (SOC). By using the SOC, we can efficiently model the scattered component of the received signal in non-isotropic scattering environments. Such SOC-based multipath channel models provide the flexibility of having correlated in-phase and quadrature phase components of the received signal. This paper presents the derivation and analysis of the statistical properties of the capacity of multipath fading channels under LOS conditions. As an appropriate stochastic model for the multipath fading channel, we have adopted the SOC model. We have derived the …

Channel capacityStochastic modellingComputer scienceCumulative distribution functionStatisticsAlgorithmRandom variableMultipath propagationComputer Science::Information TheoryCommunication channel2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications
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Exchange rates expectations and chaotic dynamics: a replication study

2018

Abstract In this paper the author analyzes the behavior of exchange rates expectations for four currencies, by considering a re-calculation and an extension of Resende and Zeidan (Expectations and chaotic dynamics: empirical evidence on exchange rates, Economics Letters, 2008). Considering Lyapunov exponent-based tests results, they are not supportive of chaos in exchange rates expectations, although the so-called 0–1 test strongly supports the chaos hypothesis.

ChaoticSocial SciencesLyapunov exponent01 natural sciencesexchange rates010305 fluids & plasmassymbols.namesakeH0502 economics and business0103 physical sciencesReplication (statistics)ddc:330Statistical physicsC15050207 economicsEmpirical evidenceHB71-74MathematicsC120-1 testdeterministic chaos05 social sciencesDynamics (mechanics)Lyapunov exponentsNonlinear Sciences::Chaotic DynamicsEconomics as a sciencesymbolsGeneral Economics Econometrics and Financeexpectations
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Analysis of neuronal networks in the visual system of the cat using statistical signals

1976

If the input signals of the visual system in the cat are statistical patterns in space and time, a complete system analysis can be carried out. What counts here as a system are the neuronal networks between retina and recording site. In the case of linearity, one obtains the temporal impulse response functions at every point in the receptive field with the aid of correlation methods. The measuring time is about one minute. Some aspects of the procedure are explained in terms of examples. The method of measurement also makes it possible to determine the characteristic function of the system in time and space between different recording sites within the cortex. It is possible to specialize th…

Characteristic function (convex analysis)Systems AnalysisGeneral Computer ScienceModels NeurologicalStatistics as TopicComplex systemLinearityNonlinear systemSimple (abstract algebra)Receptive fieldCatsElectronic engineeringAnimalsVisual PathwaysPoint (geometry)AlgorithmImpulse responseBiotechnologyMathematicsBiological Cybernetics
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On the use of fractional calculus for the probabilistic characterization of random variables

2009

In this paper, the classical problem of the probabilistic characterization of a random variable is re-examined. A random variable is usually described by the probability density function (PDF) or by its Fourier transform, namely the characteristic function (CF). The CF can be further expressed by a Taylor series involving the moments of the random variable. However, in some circumstances, the moments do not exist and the Taylor expansion of the CF is useless. This happens for example in the case of $\alpha$--stable random variables. Here, the problem of representing the CF or the PDF of random variables (r.vs) is examined by introducing fractional calculus. Two very remarkable results are o…

Characteristic function (probability theory)FOS: Physical sciencesAerospace EngineeringMathematics - Statistics TheoryOcean EngineeringProbability density functionComplex order momentStatistics Theory (math.ST)Fractional calculusymbols.namesakeIngenieurwissenschaftenFOS: MathematicsTaylor seriesApplied mathematicsCharacteristic function serieMathematical PhysicsCivil and Structural EngineeringMathematicsGeneralized Taylor serieMechanical EngineeringStatistical and Nonlinear PhysicsProbability and statisticsMathematical Physics (math-ph)Condensed Matter PhysicsFractional calculusFourier transformNuclear Energy and EngineeringPhysics - Data Analysis Statistics and ProbabilitysymbolsFractional calculus; Generalized Taylor series; Complex order moments; Fractional moments; Characteristic function series; Probability density function seriesddc:620Series expansionFractional momentProbability density function seriesSettore ICAR/08 - Scienza Delle CostruzioniRandom variableData Analysis Statistics and Probability (physics.data-an)
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Uncertainty-Based Internal Quality Control. Harmonization Considerations

2006

Three main quality aspects for analytical laboratories are internal method validation, internal quality control (IQC), and sample result uncertainty. Unfortunately, in the past they have been used in a nonharmonized way. The most universal IQC tool is the mean chart, but some criteria used to fix their control limits do not fit the real nature of analytical results. A new approach for fixing these limits is proposed (the u-approach). The key is the combined uncertainty, u, obtained from the method validation information, also used for estimating the sample result uncertainty. A comparative study on "in-control" simulated, bibliographic, and real laboratory data suggests that the u-approach …

ChartControl limitsProcess (engineering)Chemistrymedia_common.quotation_subjectControl (management)Process controlQuality (business)Sample (statistics)HarmonizationAnalytical Chemistrymedia_commonReliability engineeringAnalytical Chemistry
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World Influence of Infectious Diseases from Wikipedia Network Analysis

2019

AbstractWe consider the network of 5 416 537 articles of English Wikipedia extracted in 2017. Using the recent reduced Google matrix (REGOMAX) method we construct the reduced network of 230 articles (nodes) of infectious diseases and 195 articles of world countries. This method generates the reduced directed network between all 425 nodes taking into account all direct and indirect links with pathways via the huge global network. PageRank and CheiRank algorithms are used to determine the most influential diseases with the top PageRank diseases being Tuberculosis, HIV/AIDS and Malaria. From the reduced Google matrix we determine the sensitivity of world countries to specific diseases integrat…

CheiRankComputer scienceHuman immunodeficiency virus (HIV)medicine.disease_cause01 natural sciences[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]law.invention03 medical and health sciencesPageRanklaw0103 physical sciencesGlobal networkmedicine010306 general physics030304 developmental biology0303 health sciencesInformation retrievalGoogle matrixMarkov processes[PHYS.PHYS.PHYS-SOC-PH]Physics [physics]/Physics [physics]/Physics and Society [physics.soc-ph]complex networksdata mining[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]ranking (statistics)3. Good healthInfectious diseaseslcsh:Electrical engineering. Electronics. Nuclear engineeringlcsh:TK1-9971Network analysisWikipedia
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Albumin binding and hydrophobic character of promazine and chlorpromazine metabolites.

1972

1. The binding of didesmethylpromazine, promazine N-oxide, 2-hydroxypromazine, promazine sulfoxide, monodesmethylpromazine sulfoxide, didesmethylchlorpromazine, chlorpromazine N-oxide, and chlorpromazine sulfoxide to bovine serum albumin was determined by means of sephadex gel filtration. 2. The albumin binding of these substances was characterized by the following parameters: the percentage α of free substance, the percentage β of bound substance, the binding constants K1, k+ and m, the number of binding sites per albumin molecule, and the free binding energy ΔFo. 3. The partition coefficients between n-octanol and buffer solution, pH 7.40, were measured for the above mentioned metabolites…

Chemical PhenomenaChlorpromazineStatistics as TopicPlasma protein bindingchemistry.chemical_compoundmedicineAnimalsBovine serum albuminChlorpromazinePromazinePromazinePharmacologyChromatographyBinding SitesbiologyAlbuminSulfoxideSerum Albumin BovineGeneral MedicineBuffer solutionChemistrychemistrySolubilitySephadexSulfoxidesbiology.proteinChromatography GelCattleNitrogen OxidesChlorinemedicine.drugProtein BindingNaunyn-Schmiedeberg's archives of pharmacology
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The adiabatic strictly-correlated-electrons functional : kernel and exact properties

2016

We investigate a number of formal properties of the adiabatic strictly-correlated electrons (SCE) functional, relevant for time-dependent potentials and for kernels in linear response time-dependent density functional theory. Among the former, we focus on the compliance to constraints of exact many-body theories, such as the generalised translational invariance and the zero-force theorem. Within the latter, we derive an analytical expression for the adiabatic SCE Hartree exchange-correlation kernel in one dimensional systems, and we compute it numerically for a variety of model densities. We analyse the non-local features of this kernel, particularly the ones that are relevant in tackling p…

Chemical Physics (physics.chem-ph)PhysicsStrongly Correlated Electrons (cond-mat.str-el)010304 chemical physicsta114FOS: Physical sciencesGeneral Physics and Astronomyformal probertiesElectronHartreeExpression (computer science)01 natural sciencesadiabatic strictly-correlated electronsCondensed Matter - Strongly Correlated ElectronskernelKernel (statistics)Physics - Chemical Physics0103 physical sciencesDensity functional theoryStatistical physicsPhysical and Theoretical ChemistryVariety (universal algebra)010306 general physicsAdiabatic processFocus (optics)
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Levy flights in confining environments: Random paths and their statistics

2013

We analyze a specific class of random systems that are driven by a symmetric L\'{e}vy stable noise. In view of the L\'{e}vy noise sensitivity to the confining "potential landscape" where jumps take place (in other words, to environmental inhomogeneities), the pertinent random motion asymptotically sets down at the Boltzmann-type equilibrium, represented by a probability density function (pdf) $\rho_*(x) \sim \exp [-\Phi (x)]$. Since there is no Langevin representation of the dynamics in question, our main goal here is to establish the appropriate path-wise description of the underlying jump-type process and next infer the $\rho (x,t)$ dynamics directly from the random paths statistics. A pr…

Chemical Physics (physics.chem-ph)Statistics and ProbabilityPhysicsStatistical Mechanics (cond-mat.stat-mech)LogarithmFOS: Physical sciencesProbability density functionContext (language use)Mathematical Physics (math-ph)Function (mathematics)Condensed Matter PhysicsStability (probability)Lévy flightPhysics - Chemical PhysicsPhysics - Data Analysis Statistics and ProbabilityStatisticsMaster equationInvariant (mathematics)Data Analysis Statistics and Probability (physics.data-an)Condensed Matter - Statistical MechanicsMathematical Physics
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