Results 21 to 30 of about 2,870,637 (304)

Survey on Log-Normally Distributed Market-Technical Trend Data

open access: yesRisks, 2016
In this survey, a short introduction of the recent discovery of log-normally-distributed market-technical trend data will be given. The results of the statistical evaluation of typical market-technical trend variables will be presented.
René Brenner, Stanislaus Maier-Paape
doaj   +1 more source

Temporal Statistical Analysis of Degree Distributions in an Undirected Landline Phone Call Network Graph Series

open access: yesData, 2017
This article aims to provide new results about the intraday degree sequence distribution considering phone call network graph evolution in time. More specifically, it tackles the following problem. Given a large amount of landline phone call data records,
Orgeta Gjermëni
doaj   +1 more source

Dynamical model for social distancing in the U.S. during the COVID-19 epidemic

open access: yesComputational and Mathematical Biophysics, 2020
Background Social distancing has led to a “flattening of the curve” in many states across the U.S. This is part of a novel, massive, global social experiment which has served to mitigate the COVID-19 pandemic in the absence of a vaccine or effective anti-
Chitanvis Shirish M.
doaj   +1 more source

Estructura poblacional de dos especies de cactáceas columnares en un bosque tropical caducifolio

open access: yesBotan‪ical Sciences, 2020
Antecedentes: La estructura poblacional es un atributo demográfico que se define en parte por el reclutamiento de las especies. Una aproximación para describir la estructura es estimando un ajuste log-normal a la distribución de tallas diamétricas en ...
Ernesto Lezama-Delgado   +5 more
doaj   +1 more source

Stochastic orders of log-epsilon-skew-normal distributions

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2022
The log-epsilon-skew-normal distributions family is generalized class of log-normal distribution. Is widely used to model non-negative data in many areas of applied research.
Catana Luigi-Ionut
doaj   +1 more source

The Log-Beta Generalized Half-Normal Regression Model [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2013
We introduce a log-linear regression model based on the beta generalized half-normal distribution (Pescim et al., 2010).We formulate and develop a log-linear model using a new distribution so-called the log-beta general- ized half normal distribution.We ...
Rodrigo R. Pescim   +4 more
doaj   +1 more source

Some Extensions of the Asymmetric Exponentiated Bimodal Normal Model for Modeling Data with Positive Support

open access: yesMathematics, 2023
It is common in many fields of knowledge to assume that the data under study have a normal distribution, which often generates mistakes in the results, since this assumption does not always coincide with the characteristics of the observations under ...
Roger Tovar-Falón   +2 more
doaj   +1 more source

Estudo da precipitação efetiva para o município de Lavras, MG Effective rainfall study in the municipality of Lavras, MG

open access: yesRevista Brasileira de Engenharia Agrícola e Ambiental, 2000
A determinação da precipitação efetiva apresenta grande relevância no estudo da precipitação com fins de aplicação na agricultura, visto que esta parcela da precipitação é realmente aquela que estará contribuindo com a água disponível do solo.
Silvio César Sampaio   +3 more
doaj   +1 more source

Models for Predicting Time to Sputum Conversion Among Multi-Drug Resistant Tuberculosis Patients in Lagos, South–West Nigeria

open access: yesFrontiers in Public Health, 2018
Background: Multi-drug resistant tuberculosis (MDR-TB) develops due to problems such as irregular drug supply, poor drug quality, inappropriate prescription, and poor adherence to treatment. These factors allow the development and subsequent transmission
Oluwatosin J. Akinsola   +3 more
doaj   +1 more source

Bayesian inversion of log-normal eikonal equations

open access: yesInverse Problems, 2023
Abstract We study the Bayesian inverse problem for inferring the log-normal slowness function of the eikonal equation, given noisy observation data on its solution at a set of spatial points. We contribute rigorous proofs on the existence and well-posedness of the problem.
Zhan Fei Yeo, Viet Ha Hoang
openaire   +5 more sources

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