Results 11 to 20 of about 6,211,864 (316)

LINDLEY PARETO DISTRIBUTION [PDF]

open access: yesStatistics in Transition New Series, 2018
Abstract In this paper, we introduce a new Lindley Pareto distribution, which offers a more flexible model for modelling lifetime data. Some of its mathematical properties like density function, cumulative distribution, mode, mean, variance, and Shannon entropy are established.
Zeghdoudi, Halim   +2 more
openaire   +3 more sources

The Exponentiated Weibull-Pareto Distribution with Application [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2016
A new generalization of the Weibull-Pareto distribution called the exponentiated Weibull-Pareto distribution is defined and studied. Various structural properties including ordinary moments, quantiles, R´enyi and q-entropies and order statistics are ...
Ahmed Z. Afify   +3 more
doaj   +2 more sources

The accumulative law and its probability model: an extension of the Pareto distribution and the log-normal distribution. [PDF]

open access: yesProc Math Phys Eng Sci, 2020
The divergence between the Pareto distribution and the log-normal distribution has been observed persistently over the past couple of decades in complex network research, economics, and social sciences. To address this, we here propose an approach termed
Feng M   +4 more
europepmc   +2 more sources

Alpha-Power Pareto distribution: Its properties and applications. [PDF]

open access: yesPLoS One, 2019
In Statistical theory, inclusion of an additional parameter to standard distributions is a usual practice. In this study, a new distribution referred to as Alpha-Power Pareto distribution is introduced by including an extra parameter.
Ihtisham S   +5 more
europepmc   +2 more sources

On Unit Exponential Pareto Distribution for Modeling the Recovery Rate of COVID-19

open access: yesProcesses, 2023
In 2019, a new lethal and mutant virus (COVID-19) spread around the world, causing the deaths of millions of people. COVID-19 demonstrates that scientists are involved in significant research efforts to face bacteria with less effort than that dedicated ...
H. Haj Ahmad   +3 more
semanticscholar   +1 more source

A flexible extended generalized Pareto distribution for tail estimation

open access: yesEnvironmetrics, 2022
For both financial and environmental applications, tail distributions often correspond to extreme risks and an accurate modeling is mandatory. The peaks‐over‐threshold model is a classic way to model the exceedances over a high threshold with the ...
Philémon Gamet, J. Jalbert
semanticscholar   +1 more source

Generating Optimal Discrete Analogue of the Generalized Pareto Distribution under Bayesian Inference with Applications

open access: yesSymmetry, 2022
This paper studies three discretization methods to formulate discrete analogues of the well-known continuous generalized Pareto distribution. The generalized Pareto distribution provides a wide variety of probability spaces, which support threshold ...
H. H. Ahmad, E. Almetwally
semanticscholar   +1 more source

Estimation Methods for the New Weibull-Pareto Distribution: Simulation and Application

open access: yesJournal of Data Science, 2021
In this paper, we introduce the alternative methods to estimation for the new weibull-pareto distribution parameters. We discussed of point estimation and interval estimation for parameters of the new weibull-pareto distribution.
E. Almetwally, H. M. Almongy
semanticscholar   +1 more source

Estimation of the Exponential Pareto Distribution’s Parameters under Ranked and Double Ranked Set Sampling Designs

open access: yes, 2021
In this paper, the derivation of the likelihood function for parameter estimation based on double ranked set sampling (DRSS) designs used by Sabry el.al.; (2019) for the estimation of the parameters of the power generalized Weibull distribution is ...
M. Sabry, E. Almetwally
semanticscholar   +1 more source

On Bayesian approach to composite Pareto models.

open access: yesPLoS ONE, 2021
In data modelling using the composite Pareto distribution, any observations above a particular threshold value are assumed to follow Pareto type distribution, whereas the rest of the observations are assumed to follow a different distribution. This paper
Muhammad Hilmi Abdul Majid   +1 more
doaj   +1 more source

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