Results 21 to 30 of about 2,873,406 (205)
Non-stationary log-periodogram regression [PDF]
, 1998 We study asymptotic properties of the log-periodogram semiparametric estimate of the memory parameter d for non-stationary (d>=1/2) time series with Gaussian increments, extending the results of Robinson (1995) for stationary and invertible Gaussian ...
Velasco Gómez, Carlos +2 more
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Misspecification Tests for Log-Normal and Over-Dispersed Poisson Chain-Ladder Models
Risks, 2018 Despite the widespread use of chain-ladder models, so far no theory was available to test for model specification. The popular over-dispersed Poisson model assumes that the over-dispersion is common across the data.
Jonas Harnau
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Survey on Log-Normally Distributed Market-Technical Trend Data
Risks, 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
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Estructura poblacional de dos especies de cactáceas columnares en un bosque tropical caducifolio
Botanical 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
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Data, 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
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Dynamical model for social distancing in the U.S. during the COVID-19 epidemic
Computational 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.
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Stochastic orders of log-epsilon-skew-normal distributions
Analele 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
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Log-normal distribution function showing the profiles for medians of DV50 = 10, 50, 100. [PDF]
, 2019 Log-normal distribution function showing the profiles for medians of DV50 = 10, 50, 100.
Oriol Lehmkuhl (5153078) +5 more
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The Log-Beta Generalized Half-Normal Regression Model [PDF]
Journal 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
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Mathematics, 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
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