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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Kaniadakis Functions beyond Statistical Mechanics: Weakest-Link Scaling, Power-Law Tails, and Modified Lognormal Distribution [PDF]
Entropy, 2022 Probabilistic models with flexible tail behavior have important applications in engineering and earth science. We introduce a nonlinear normalizing transformation and its inverse based on the deformed lognormal and exponential functions proposed by ...
Dionissios T. Hristopulos +1 more
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Beyond Zipf's Law: The Lavalette Rank Function and Its Properties. [PDF]
PLoS ONE, 2016 Although Zipf's law is widespread in natural and social data, one often encounters situations where one or both ends of the ranked data deviate from the power-law function.
Oscar Fontanelli +4 more
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On the Generalized Lognormal Distribution [PDF]
Journal of Probability and Statistics, 2013 This paper introduces, investigates, and discusses the -order generalized lognormal distribution (-GLD). Under certain values of the extra shape parameter , the usual lognormal, log-Laplace, and log-uniform distribution, are obtained, as well as the ...
Thomas L. Toulias, Christos P. Kitsos
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Multivariate Poisson lognormal distribution for modeling counts from modern biological data: An overview [PDF]
Computational and Structural Biotechnology JournalModern biological data are often multivariate discrete counts, and there has been a dearth of statistical distributions to directly model such counts in an efficient manner.
Sanjeena Subedi, Utkarsh J. Dang
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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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Description of the Joint Probability of Significant Wave Height and Mean Wave Period
Journal of Marine Science and Engineering, 2022 The bivariate probability distribution of significant wave heights and mean wave periods has an indispensable guiding role in the implementation of offshore engineering, which has attracted great attention.
Mingwen Zhao, Xiaodong Deng, Jichao Wang
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Random phenotypic variation of yeast (Saccharomyces cerevisiae) single-gene knockouts fits a double pareto-lognormal distribution. [PDF]
PLoS ONE, 2012 Distributed robustness is thought to influence the buffering of random phenotypic variation through the scale-free topology of gene regulatory, metabolic, and protein-protein interaction networks.
John H Graham, Daniel T Robb, Amy R Poe
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Tsunami Distribution Functions along the Coast: Extended
Journal of Marine Science and Engineering, 2022 The distribution of tsunami runup heights along the coast is studied both theoretically and experimentally using observation data of historical tsunami from 1992 to 2018.
Ira Didenkulova +2 more
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Modeling income distribution: An econophysics approach
Mathematical Biosciences and Engineering, 2023 This study aims to develop appropriate models for income distribution in Iran using the econophysics approach for the 2006–2018 period. For this purpose, the three improved distributions of the Pareto, Lognormal, and Gibbs-Boltzmann distributions are ...
Hossein Jabbari Khamnei +3 more
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