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Toplam kayıt 6, listelenen: 1-6
The hjorth's IDB generator of distributions: properties, characterizations, regression modeling and applications
(Atlantis Press, 2020)
We introduce a new flexible class of continuous distributions via the Hjorth’s IDB model. We provide some mathematical prop-erties of the new family. Characterizations based on two truncated moments, conditional expectation ...
A new flexible family of continuous distributions: the additive Odd-G family
(MDPI AG, 2021)
This paper introduces a new family of distributions based on the additive model structure. Three submodels of the proposed family are studied in detail. Two simulation studies were performed to discuss the maximum likelihood ...
The log exponential-power distribution: Properties, estimations and quantile regression model
(MDPI, 2021)
Recently, bounded distributions have attracted attention. These distributions are frequently used in modeling rate and proportion data sets. In this study, a new alternative model is proposed for modeling bounded data sets. ...
The Burr X Pareto distribution: properties, applications and VaR estimation
(MDPI, 2018)
In this paper, a new three-parameter Pareto distribution is introduced and studied. We discuss various mathematical and statistical properties of the new model. Some estimation methods of the model parameters are performed. ...
The extended gamma distribution with regression model and applications
(American Institute of Mathematical Sciences, 2021)
This paper introduces a new extension of the gamma distribution, named as a new extended
gamma distribution, via mixture representation of xgamma and gamma distributions. The statistical
properties of the proposed ...
A new extended g family of continuous distributions with mathematical properties, characterizations and regression modeling
(Univ Punjab, 2018)
We propose a new extended G family of distributions. Some of its structural properties are derived and some useful characterization results are presented. The maximum likelihood method is used to estimate the model parameters ...