Comparison of Parameters of Lognormal Distribution Based On the Classical and Posterior Estimates [PDF]
, 2013 Lognormal distribution is widely used in scientific field, such as agricultural, entomological, biology etc. If a variable can be thought as the multiplicative product of some positive independent random variables, then it could be modelled as lognormal.
Ahmad, S. P +3 more
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Bayes reliability measures of Lognormal and inverse Gaussian distributions under ML-II ε-contaminated class of prior distributions [PDF]
In this paper we employ ML-II ε-contaminated class of priors to study the sensitivity of Bayes Reliability measures for an Inverse Gaussian (IG) distribution and Lognormal (LN) distribution to misspecification in the prior.
Sinha, Pankaj, Jayaraman, Prabha
core
The Mean Difference for Lognormal Distribution [PDF]
, 2016 The calculation of the mean difference for the lognormal distribution involves several hard integrals featuring the error function. In this paper, considering two particular cases of an integral of the exponential function for the complement to one of ...
GIRONE, Giovanni, MANCA, FABIO
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, 2016 Cumulative distribution function for lognormal and Lavalette distributions, being μ = 0 and σ = 0.1, 0.5 and 1 the parameters of the lognormal. The x axis is in logarithmic scale.
Yaning Yang (2318779) +4 more
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Inference for double Pareto lognormal queues with applications [PDF]
In this article we describe a method for carrying out Bayesian inference for the double Pareto lognormal (dPlN) distribution which has recently been proposed as a model for heavy-tailed phenomena. We apply our approach to inference for the dPlN/M/1 and M/
Michael P. Wiper +3 more
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Parameters of lognormal contrast distribution.
, 2014 Parameters of the lognormal distributions of the r.m.s. contrasts of our database. μ is the expected value, σ2 the variance of the distribution; both parameters were obtained by a lognormal fit to the distribution. n is the number of elements.
Jens Peter Lindemann (111) +2 more
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On Modelling Insurance Data by Using a Generalized Lognormal Distribution || Sobre la modelización de datos de seguros usando una distribución lognormal generalizada [PDF]
Revista de Métodos Cuantitativos para la Economía y la Empresa, 2014 In this paper, a new heavy-tailed distribution is used to model data with a strong right tail, as often occurs in practical situations. The distribution proposed is derived from the lognormal distribution, by using the Marshall and Olkin procedure.
García, Victoriano J. +2 more
doaj
Log-moment estimators of the Nakagami-lognormal distribution
EURASIP Journal on Wireless Communications and Networking, 2019 In this paper, estimators of the Nakagami-lognormal (NL) distribution based on the method of log-moments have been derived and thoroughly analyzed. Unlike maximum likelihood (ML) estimators, the log-moment estimators of the NL distribution are obtained ...
Juan Reig +3 more
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Poverty, Income Distribution and CGE Modeling: Does the Functional Form of Distribution Matter? [PDF]
In this paper, we provide an overview of approaches used to model income distribution and poverty in CGE models. CGE models have started to use income distribution functional forms such as the lognormal, Pareto, beta distribution and Kernel non ...
Luc Savard +2 more
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Lognormal distribution, priors and references for the calibration points.
, 2014 Lognormal distribution, priors and references for the calibration points.
Diego R. Barneche (599197) +7 more
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