Results 1 to 10 of about 126,178 (307)
Discrimination between the lognormal and Weibull Distributions by using multiple linear regression
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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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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Proof of the Contiguity Conjecture and Lognormal Limit for the Symmetric Perceptron [PDF]
IEEE Annual Symposium on Foundations of Computer Science, 2021 We consider the symmetric binary perceptron model, a simple model of neural networks that has gathered significant attention in the statistical physics, information theory and probability theory communities, with recent connections made to the ...
E. Abbe, Shuangping Li, A. Sly
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Probabilistic Modeling and Estimation of Flow Rate of Sewage Treatment Plant Using Monte Carlo Hybrid Method [PDF]
آب و فاضلاب, 2021 One of the most important results of hydraulic and hydrological modeling of the urban drainage network is hydrograph estimation. Annual journals on hydraulic and hydrological problems, especially in developing countries, are full of missing data ...
Jamshid Piri +3 more
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Gravitational waves induced by scalar perturbations with a lognormal peak [PDF]
Journal of Cosmology and Astroparticle Physics, 2020 We study the stochastic gravitational wave (GW) background induced by the primordial scalar perturbation with the spectrum having a lognormal peak of width Δ at k=k*. We derive an analytical formula for the GW spectrum ΩGW for both narrow (Δ≪1) and broad
Shi Pi, Misao Sasaki
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iDeLog: Iterative Dual Spatial and Kinematic Extraction of Sigma-Lognormal Parameters [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 The Kinematic Theory of rapid movements and its associated Sigma-Lognormal model have been extensively used in a large variety of applications. While the physical and biological meaning of the model have been widely tested and validated for rapid ...
Miguel A. Ferrer +3 more
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Why Firing Rate Distributions Are Important for Understanding Spinal Central Pattern Generators
Frontiers in Human Neuroscience, 2021 Networks in the spinal cord, which are responsible for the generation of rhythmic movements, commonly known as central pattern generators (CPGs), have remained elusive for decades.
Henrik Lindén, Rune W. Berg
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Model-Driven Analysis of ECG Using Reinforcement Learning
Bioengineering, 2023 Modeling is essential to better understand the generative mechanisms responsible for experimental observations gathered from complex systems. In this work, we are using such an approach to analyze the electrocardiogram (ECG).
Christian O’Reilly +3 more
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Sigma-Lognormal Modeling of Speech [PDF]
Cognitive Computation, 2021 AbstractHuman movement studies and analyses have been fundamental in many scientific domains, ranging from neuroscience to education, pattern recognition to robotics, health care to sports, and beyond. Previous speech motor models were proposed to understand how speech movement is produced and how the resulting speech varies when some parameters are ...
C. Carmona-Duarte +4 more
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Human behavior and lognormal distribution. A kinetic description [PDF]
Mathematical Models and Methods in Applied Sciences, 2018 In recent years, it has been increasing evidence that lognormal distributions are widespread in physical and biological sciences, as well as in various phenomena of economics and social sciences.
Stefano Gualandi, G. Toscani
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