On the Generalized Lognormal Distribution [PDF]
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
doaj +3 more sources
Neuronal variability during handwriting: lognormal distribution. [PDF]
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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Modeling Responses and Response Times in Tests With the Hierarchical Model and the Three-Parameter Lognormal Distribution. [PDF]
The hierarchical model of van der Linden is the most popular model for responses and response times in tests. It is composed of two separate submodels—one for the responses and one for the response times—that are joined at a higher level.
Ranger J, Kuhn JT, Ortner TM.
europepmc +2 more sources
Kaniadakis Functions beyond Statistical Mechanics: Weakest-Link Scaling, Power-Law Tails, and Modified Lognormal Distribution [PDF]
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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On the Laplace Transform of the Lognormal Distribution [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Asmussen, Søren +2 more
openaire +9 more sources
Pareto tails and lognormal body of US cities size distribution
We consider a distribution, which consists of lower tail Pareto, lognormal body, and upper tail Pareto, to estimate the size distribution of all US cities.
Jeff Luckstead
exaly +2 more sources
Multivariate Poisson lognormal distribution for modeling counts from modern biological data: An overview [PDF]
Modern 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.
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
doaj +1 more source
Bi-lognormal Distribution of Sunspot Group Areas
We use daily observations from the Royal Greenwich Observatory and Kislovodsk Mountain Astronomical Station of Pulkovo Observatory to study the distribution properties of sunspot areas.
Y. Nagovitsyn, A. Pevtsov
semanticscholar +1 more source
Random phenotypic variation of yeast (Saccharomyces cerevisiae) single-gene knockouts fits a double pareto-lognormal distribution. [PDF]
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
doaj +1 more source

