Results 21 to 30 of about 105,782 (293)
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
Description of the Joint Probability of Significant Wave Height and Mean Wave Period
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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Correlated connectivity and the distribution of firing rates in the neocortex [PDF]
Two recent experimental observations pose a challenge to many cortical models. First, the activity in the auditory cortex is sparse, and firing rates can be described by a lognormal distribution.
Hromadka, Tomas +2 more
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The generalized lognormal distribution and the Stieltjes moment problem [PDF]
This paper studies a Stieltjes-type moment problem defined by the generalized lognormal distribution, a heavy-tailed distribution with applications in economics, finance and related fields.
Kleiber, Christian
core +3 more sources
Inference with the lognormal distribution [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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The Goldilocks zone in neural circuits
How do networks of neurons remain both stable and sensitive to new inputs?
Mark D Humphries
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Probabilistic safety assessment is widely used to quantify the risks of nuclear power plants and their uncertainties. When the lognormal distribution describes the uncertainties of basic events, the uncertainty of the top event in a fault tree is ...
Gyun Seob Song, Man Cheol Kim
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Simple accurate lognormal approximation to lognormal sums
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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Pareto versus lognormal: a maximum entropy test [PDF]
It is commonly found that distributions that seem to be lognormal over a broad range change to a power-law (Pareto) distribution for the last few percentiles.
A. P. Dempster +19 more
core +1 more source
On a Property of the Lognormal Distribution [PDF]
SUMMARY In this paper it is established that the lognormal distribution is not determined by its moments. Some brief comments are made on the set of distributions having the same moments as a lognormal distribution.
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