Search results for "Log-normal distribution"

showing 9 items of 19 documents

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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The best fit for the observed galaxy Counts-in-Cell distribution function

2017

The Sloan Digital Sky Survey (SDSS) is the first dense redshift survey encompassing a volume large enough to find the best analytic probability density function that fits the galaxy Counts-in-Cells distribution $f_V(N)$, the frequency distribution of galaxy counts in a volume $V$. Different analytic functions have been previously proposed that can account for some of the observed features of the observed frequency counts, but fail to provide an overall good fit to this important statistical descriptor of the galaxy large-scale distribution. Our goal is to find the probability density function that better fits the observed Counts-in-Cells distribution $f_V(N)$. We have made a systematic stud…

PhysicsCosmology and Nongalactic Astrophysics (astro-ph.CO)Distribution (number theory)010308 nuclear & particles physicsNegative binomial distributionFOS: Physical sciencesAstronomy and AstrophysicsProbability density functionAstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsRedshift survey01 natural sciencesGalaxyDistribution functionSpace and Planetary Science0103 physical sciencesLog-normal distributionStatistical physics010303 astronomy & astrophysicsAnalytic functionAstrophysics - Cosmology and Nongalactic Astrophysics
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On the first- and second-order statistics of the capacity of N*Nakagami-m channels for applications in cooperative networks

2012

This article deals with the derivation and analysis of the statistical properties of the instantaneous channel capacitya of N*Nakagami-m channels, which has been recently introduced as a suitable stochastic model for multihop fading channels. We have derived exact analytical expressions for the probability density function (PDF), cumulative distribution function (CDF), level-crossing rate (LCR), and average duration of fades (ADF) of the instantaneous channel capacity of N*Nakagami-m channels. For large number of hops, we have studied the first-order statistics of the instantaneous channel capacity by assuming that the fading amplitude of the channel can approximately be modeled as a lognor…

Computer Networks and CommunicationsStochastic modellingComputer scienceCumulative distribution functionNakagami distributionComputer Science ApplicationsComputer Science::PerformanceChannel capacitySignal ProcessingLog-normal distributionStatisticsComputer Science::Networking and Internet ArchitectureFadingStatistical physicsComputer Science::Information TheoryCommunication channelEURASIP Journal on Wireless Communications and Networking
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A measurement-based trajectory model for drifted motions towards a target zone

2016

Trajectory models have numerous applications in the area of wiewlwss communications. The aim of this paper is to develop an empirical trajectory model for drifted motions. Recently, a highly flexible trajectory model based on the primitives of Brownian fields (TramBrown) was proposed by A. Borhani and M. Patzold. This paper provides an empirical proof for TramBrown using global positioning system (GPS) data collected from real life user traces drifting to a particular target point or a zone. The recorded location coordinates of the mobile user are processed to compute the total travelling length and the angle-of-motion (AOM) along the drifted trajectory. It is shown that the probability den…

business.industryGaussianMathematical analysisProbability density functionsymbols.namesakeGeographyLog-normal distributionLine (geometry)symbolsTrajectoryGlobal Positioning SystemPoint (geometry)businessSimulationBrownian motion2016 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)
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Design of measurement-based correlation models for shadow fading

2010

This paper deals with the design of measurement-based correlation models for shadow fading. Based on the correlation model, we design a simulation model using the sumof-sinusoids (SOS) method to enable the simulation of spatial lognormal processes characterizing real-world shadow fading scenarios. The model parameters of the simulation model are computed by applying the L p -norm method (LPNM). This method facilitates an excellent fitting of the simulation model's autocorrelation function (ACF) to that of measured channels. Our study includes an evaluation of all important statistical quantities of the proposed measurement-based simulation model, such as the probability density function (PD…

AutocorrelationProbability density functionsymbols.namesakeFading distributionGoodness of fitStatisticsLog-normal distributionsymbolsFadingGaussian processAlgorithmDecorrelationComputer Science::Information TheoryMathematicsThe 2010 International Conference on Advanced Technologies for Communications
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An Exact Solution for the Level-Crossing Rate of Shadow Fading Processes Modelled by Using the Sum-of-Sinusoids Principle

2008

Published version of an article in the journal: Wireless Personal Communications. The original publication is available at Springerlink. http://dx.doi.org/10.1007/s11277-008-9512-3 The focus of this paper is on the higher order statistics of spatial simulation models for shadowing processes. Such processes are generally assumed to follow the lognormal distribution. The proposed spatial simulation model is derived from a non-realizable lognormal reference model with given correlation properties by using Rice's sum-of-sinusoids. Both exact and approximate expressions are presented for the level-crossing rate (LCR) and the average duration of fades (ADF) of the simulation model. It is pointed …

VDP::Mathematics and natural science: 400::Information and communication science: 420::Communication and distributed systems: 423Spatial correlationComputer scienceEmphasis (telecommunications)Higher-order statisticsLevel crossingShadow fadingComputer Science ApplicationsExact solutions in general relativityVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552Log-normal distributionStatisticsApplied mathematicsElectrical and Electronic EngineeringFocus (optics)Wireless Personal Communications
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Simulating term structure of interest rates with arbitrary marginals

2011

Decision models under uncertainty rely their analysis on scenarios of the economic factors. A key economic factor is the term structure of interest rates (yields). Simulation models of the yield curve usually assume that the conjugate distribution of the interest rates is lognormal. Dynamic models, like vector auto-regression, implicitly postulate that the logarithm of the interest rates is normally distributed. Statistical analyses have, however, shown that stationary transformations (yield changes) of the interest rates are substantially leptokurtic, thus posing serious doubts on the reliability of the available models. We propose in this paper a VARTA model (Biller and Nelson, 2003) to s…

Logarithmmedia_common.quotation_subjectYield (finance)Management Science and Operations ResearchTerm (time)Interest rateScenario simulationyield curveSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.fat tailsLog-normal distributionKurtosisEconometricsvector autoregressive modelYield curveStatistics Probability and UncertaintyBusiness and International ManagementDecision modelmedia_commonMathematics
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On the world distribution of income

2015

In this paper we demonstrate that the size distribution of the world income may be reasonably approximated by a log-normal distribution rather then by a power law, as has previously been believed. This result has been shown to be quite persistent as we move from 1985 to 2011.

Economics and Econometricsbusiness.industrygeneralized gamma distribution log normal power law world income05 social sciencesGeneralized gamma distributionDistribution (economics)Settore SECS-P/06 - Economia Applicata01 natural sciencesPower law010305 fluids & plasmasSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.0502 economics and business0103 physical sciencesLog-normal distributionEconomicsEconometrics050207 economicsbusinessMathematical economics
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Statistical mechanics of fullerene coalescence growth

2006

Among the different carbon allotropes fullerenes are exceptionally intriguing for their spheroidal topology out of pentagons and hexagons. However, the dominant formation mode is still ambiguous. Here, we analyze the fullerene formation process by the statistical analysis of fullerene sizes produced in a laser-induced microplasma finding that a simple two-parameter lognormal distribution describes impressively well the cluster frequencies under various conditions. Our findings clearly reveal coalescent growth following a classical collision dynamics and disagree with several earlier assumptions.

Coalescence (physics)PhysicsCollision dynamicsClassical mechanicsFullereneChemical physicsLog-normal distributionStatistical analysisStatistical mechanicsCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsCoalescent theoryPhysical Review B
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