Search results for "probability density function"

showing 10 items of 183 documents

A RELIABILITY MODEL FOR OPTIMAL ALLOCATION OF SPARE TOOLS IN FMS

1989

ABSTRACT A model for the dynamic management of the tool set of an FMS workstation is developed. The proposed approach processing the on-line recorded tool failure data updates the estimate of the parameters of the probability density functions of tool life and selects, at the occurence of each failure, the code of the tool to be allocated in the workstation storage devices in order to maximize its reliability over a planned horizon.

EngineeringWorkstationbusiness.industryProbability density functionlaw.inventionReliability engineeringSet (abstract data type)lawSpare partCode (cryptography)Optimal allocationbusinessReliability modelReliability (statistics)
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The design of measurement-based underwater acoustic channel simulators using the INLSA algorithm

2015

This paper utilizes the iterative nonlinear least square approximation (INLSA) algorithm for designing measurement-based wideband shallow underwater acoustic (UWA) channel simulators. Measurement-based channel simulators are essential for the test, optimization, and performance analysis of UWA communication systems. The aim is to fit the time-variant channel impulse response (TVCIR) of the simulation model to that of the measured UWA channel. The performance of the designed UWA channel simulator is assessed by comparing the time-frequency correlation function (TFCF), the power delay profile (PDP), and the probability density function (PDF) of the channel envelope with the corresponding quan…

Engineeringbusiness.industryRayleigh distributionProbability density functionData_CODINGANDINFORMATIONTHEORYPropagation delayCorrelation function (quantum field theory)Electronic engineeringAlgorithm designWidebandbusinessPower delay profileAlgorithmComputer Science::Information TheoryCommunication channelOCEANS 2015 - Genova
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First-order linear differential equations whose data are complex random variables: Probabilistic solution and stability analysis via densities

2022

[EN] Random initial value problems to non-homogeneous first-order linear differential equations with complex coefficients are probabilistically solved by computing the first probability density of the solution. For the sake of generality, coefficients and initial condition are assumed to be absolutely continuous complex random variables with an arbitrary joint probability density function. The probability of stability, as well as the density of the equilibrium point, are explicitly determined. The Random Variable Transformation technique is extensively utilized to conduct the overall analysis. Several examples are included to illustrate all the theoretical findings.

Equilibrium pointcomplex differential equations with uncertaintiesuncertainty quantificationGeneral Mathematicsrandom modelsProbabilistic logicProbability density functionrandom variable transformation methodStability (probability)Transformation (function)Linear differential equationprobability density functionQA1-939Applied mathematicsInitial value problemMATEMATICA APLICADARandom variableMathematicsMathematicsAIMS Mathematics
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Estimation of ordered response models with sample selection

2011

We introduce two new Stata commands for the estimation of an ordered response model with sample selection. The opsel command uses a standard maximum-likelihood approach to fit a parametric specification of the model where errors are assumed to follow a bivariate Gaussian distribution. The snpopsel command uses the semi-nonparametric approach of Gallant and Nychka (1987, Econometrica 55: 363–390) to fit a semiparametric specification of the model where the bivariate density function of the errors is approximated by a Hermite polynomial expansion. The snpopsel command extends the set of Stata routines for semi-nonparametric estimation of discrete response models. Compared to the other semi-n…

EstimationSample selectionHermite polynomialsResponse modelComputer scienceEstimatorSettore SECS-P/05 - EconometriaProbability density functionBivariate analysisst0226 opsel opsel postestimation sneop sneop postestimation snp2 snp2 postestimation snp2s snp2s postestimation snpopsel snpopsel postestimation snp snp postestimation ordered response models sample selection parametric maximum-likelihood estimation semi-nonparametric estimationSet (abstract data type)Mathematics (miscellaneous)StatisticsSettore SECS-P/01 - Economia PoliticaAlgorithmMathematicsParametric statistics
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Stochastic response determination of nonlinear oscillators with fractional derivatives elements via the Wiener path integral

2014

A novel approximate analytical technique for determining the non-stationary response probability density function (PDF) of randomly excited linear and nonlinear oscillators endowed with fractional derivatives elements is developed. Specifically, the concept of the Wiener path integral in conjunction with a variational formulation is utilized to derive an approximate closed form solution for the system response non-stationary PDF. Notably, the determination of the non-stationary response PDF is accomplished without the need to advance the solution in short time steps as it is required by the existing alternative numerical path integral solution schemes which rely on a discrete version of the…

Euler-Lagrange equationMechanical EngineeringMonte Carlo methodMathematical analysisAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsProbability density functionFractional derivativeCondensed Matter PhysicsFractional calculusEuler–Lagrange equationNonlinear systemNuclear Energy and EngineeringPath integral formulationNonlinear systemWiener Path IntegralStochastic dynamicFunctional integrationFractional variational problemFractional quantum mechanicsCivil and Structural EngineeringMathematicsProbabilistic Engineering Mechanics
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Corrigendum: ExGUtils: A Python Package for Statistical Analysis With the ex-Gaussian Probability Density

2018

The study of reaction times and their underlying cognitive processes is an important field in Psychology. Reaction times are usually modeled through the ex-Gaussian distribution, because it provides a good fit to multiple empirical data. The complexity of this distribution makes the use of computational tools an essential element in the field. Therefore, there is a strong need for efficient and versatile computational tools for the research in this area. In this manuscript we discuss some mathematical details of the ex-Gaussian distribution and apply the ExGUtils package, a set of functions and numerical tools, programmed for python, developed for numerical analysis of data involving the ex…

FOS: Computer and information sciencesResponse timeslcsh:BF1-990Probability density functionex-Gaussian fitStatistics - Applications050105 experimental psychology03 medical and health sciences0302 clinical medicineSignificance testingresponse componentsConceptual AnalysisPsychology0501 psychology and cognitive sciencesStatistical analysisApplications (stat.AP)Ex-Gaussian fitTempo de reaçãoGeneral Psychologycomputer.programming_languagesignificance testingResponse componentsNumerical analysis05 social sciencesAnálise estatísticaCorrectionPython (programming language)Ex gaussianDistribuição Gaussianapythonlcsh:PsychologyOutlierTrimmingPsychologyMATEMATICA APLICADAAlgorithmcomputerSignificance testing030217 neurology & neurosurgeryresponse timesPython
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Outage statistics for Beckmann fading channels in non-isotropic scattering environments

2015

In this paper, the outage statistics are studied for non-isotropic Beckmann fading channel model. Non-isotropic scattering generally results in an asymmetrical Doppler power spectral density (PSD). In this context, an expression for the outage probability (OP) (or equivalently the cumulative distribution function (CDF)) of the fading envelope is first derived. Then, the probability density function (PDF) of the rate of change of the fading envelope is investigated. Thereafter, an expression for the average rate of outages (ARO) (or equivalently the level-crossing rate (LCR)) is provided. Finally, by making use of the analytical results of the ARO and OP, an expression for the average durati…

Fading distributionCumulative distribution functionStatisticsSpectral densityContext (language use)Probability density functionFadingEnvelope (mathematics)Expression (mathematics)Computer Science::Information TheoryMathematics2015 21st Asia-Pacific Conference on Communications (APCC)
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On the error sequences of M-ary FSK modulation schemes over Nakagami-m fading channels

2012

In this paper, we have studied some important statistical properties of error sequences of M-ary orthogonal frequency-shift keying (FSK) modulation schemes over Nakagami-m fading channels. We have derived the joint probability density function (PDF) of error sequences of arbitrary length. From the joint PDF, we have found an analytical solution for the autocorrelation function (ACF) of the error sequences. The correctness of the analytical expression for the ACF of error sequences has been confirmed by simulations, where the simulation results are obtained by using the sum-of-sinusoids principle. The derived joint PDF of error sequences is useful for the development of first-order and highe…

Frequency-shift keyingMarkov processNakagami distributionProbability density functionKeyingMarkov modelsymbols.namesakeJoint probability distributionStatisticssymbolsFadingAlgorithmComputer Science::Information TheoryMathematicsThe 2012 International Conference on Advanced Technologies for Communications
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Rayleigh and Rice Channels

2011

This chapter contains sections titled: System Theoretical Description of Multipath Channels Formal Description of Rayleigh and Rice Channels Elementary Properties of Rayleigh and Rice Channels Statistical Properties of Rayleigh and Rice Channels Further Reading Appendix 3.A Derivation of the Jakes Power Spectral Density and the Corresponding Autocorrelation Function Appendix 3.B Derivation of the Autocorrelation Function of the Envelope Appendix 3.C Derivation of the Autocovariance Spectrum of the Envelope Under Isotropic Scattering Conditions Appendix 3.D Derivation of the Level‐Crossing Rate of Rice Processes with Different Spectral Shapes of the Underlying Gaussian Random Processes

GaussianAutocorrelationSpectral densityProbability density functionsymbols.namesakeAutocovarianceElectronic engineeringsymbolsStatistical physicsRayleigh scatteringComputer Science::Information TheoryMathematicsEnvelope (waves)Rayleigh fadingMobile Radio Channels
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A non-linear stochastic approach of ligaments and tendons fractional-order hereditariness

2020

Abstract In this study the non-linear hereditariness of knee tendons and ligaments is framed in the context of stochastic mechanics. Without losing the possibility of generalization, this work was focused on knee Anterior Cruciate Ligament (ACL) and the tendons used in its surgical reconstruction. The proposed constitutive equations of fibrous tissues involves three material parameters for the creep tests and three material parameters for relaxation tests. One-to-one relations among material parameters estimated in creep and relaxations were established and reported in the paper. Data scattering, observed with a novel experimental protocol used to characterize the mechanics of the tissue, w…

GeneralizationQuantitative Biology::Tissues and OrgansAnterior cruciate ligamentPhysics::Medical PhysicsConstitutive equationNon-linear creepAerospace Engineering020101 civil engineeringOcean EngineeringContext (language use)Probability density function02 engineering and technology0201 civil engineeringNon-linear relaxation0203 mechanical engineeringmedicineCivil and Structural EngineeringMathematicsRandom hereditarinessMechanical EngineeringMathematical analysisRelaxation (iterative method)Statistical and Nonlinear Physicsmusculoskeletal systemCondensed Matter PhysicsNon-linear creep; Non-linear relaxation; Random hereditarinessNonlinear system020303 mechanical engineering & transportsmedicine.anatomical_structureNuclear Energy and EngineeringCreep
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