Results 11 to 20 of about 33,613 (202)
Simple accurate lognormal approximation to lognormal sums
Electronics Letters, 2005 A simple accurate lognormal approximation to the sum of independent non-identical lognormal variates is derived by matching the first two moments of the inverse exact sum with those of the inverse lognormal approximation. Sample examples are given to illustrate the excellent agreement between exact and approximate sum statistics.
J.C.S. Santos Filho +2 more
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Neuronal variability during handwriting: lognormal distribution. [PDF]
PLoS ONE, 2012 We examined time-dependent statistical properties of electromyographic (EMG) signals recorded from intrinsic hand muscles during handwriting. Our analysis showed that trial-to-trial neuronal variability of EMG signals is well described by the lognormal ...
Valery I Rupasov +3 more
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Discrimination between the lognormal and Weibull Distributions by using multiple linear regression [PDF]
Dyna, 2018 In reliability analysis, both the Weibull and the lognormal distributions are analyzed by using the observed data logarithms. While the Weibull data logarithm presents skewness, the lognormal data logarithm is symmetrical. This paper presents a method to
Jesus Francisco Ortiz-Yañez +1 more
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Mitigation of the Effects of Unknown Sea Clutter Statistics by Using Radial Basis Function Network [PDF]
Radioengineering, 2020 In this paper, we investigate feasibility of employing Radial Basis Function (RBF) network into non-coherent detection process, for detection of targets embedded in sea clutter of unknown statistics. We particularly have in mind Croatian part of Adriatic
B. Vondra, D. Bonefacić
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Lognormal Lorenz and normal receiver operating characteristic curves as mirror images [PDF]
Royal Society Open Science, 2015 The Lorenz curve for assessing economic inequality depicts the relation between two cumulative distribution functions (CDFs), one for the distribution of incomes or wealth and the other for their first-moment distribution.
R. John Irwin, Michael J. Hautus
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Fitting the Modified-Power-Lognormal to the Sum of Independent Lognormals Distribution [PDF]
GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference, 2009 We propose a new method for calculating a tight approximation to the distribution of the sum of independent lognormal random variables. We make use of a three-parameter modified-power-lognormal distribution function as the approximating distribution.
Sebastian S. Szyszkowicz +1 more
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A dynamical Gaussian, lognormal, and reverse lognormal Kalman filter
Quarterly Journal of the Royal Meteorological Society, 2023 AbstractWe derive a generalization of the Kalman filter that allows for non‐Gaussian background and observation errors. The Gaussian assumption is replaced by considering that the errors come from a mixed distribution of Gaussian, lognormal, and reverse lognormal random variables.
Senne Van Loon, Steven J. Fletcher
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eLife, 2016 When spinal circuits generate rhythmic movements it is important that the neuronal activity remains within stable bounds to avoid saturation and to preserve responsiveness. Here, we simultaneously record from hundreds of neurons in lumbar spinal circuits
Peter C Petersen, Rune W Berg
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On the Laplace Transform of the Lognormal Distribution [PDF]
Methodology and Computing in Applied Probability, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Asmussen, Søren +2 more
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Firm size and economic concentration: An analysis from a lognormal expansion.
PLoS ONE, 2021 This paper studies the distribution of the firm size for the Colombian economy showing evidence against the Gibrat's law, which assumes a stable lognormal distribution.
Lina M Cortés +2 more
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