- Author
- Marganpoor Shahdie (Golestan University, Gorgan, Iran), Ranjbar Vahid (Golestan University, Gorgan, Iran), Alizadeh Morad (Persian Gulf University, Bushehr, Iran), Abdollahnezhad Kamel (Golestan University, Gorgan, Iran)
- Title
- Generalised Odd Frechet Family of Distributions: Properties and Applications
- Source
- Statistics in Transition, 2020, vol. 21, nr 3, s. 109-128, rys., tab., bibliogr. s. 124-128
- Keyword
- Rozkład prawdopodobieństwa, Estymacja, Metoda największej wiarygodności
Probability distributions, Estimation, Maximum likelihood estimation - Note
- summ.
- Abstract
- A new distribution called Generalized Odd Fréchet (GOF) distribution is presented and its properties explored. Some structural properties of the proposed distribution, including the shapes of the hazard rate function, moments, conditional moments, moment generating function, skewness, and kurtosis are presented. Mean deviations, Lorenz and Bonferroni curves, Rényi entropy, and the distribution of order statistics are given. The maximum likelihood estimation technique is used to estimate the model parameters, and finally applications of the model to a real data set are presented to illustrate the usefulness of the proposed distribution. (original abstract)
- Accessibility
- The Main Library of the Cracow University of Economics
The Library of Warsaw School of Economics
The Library of University of Economics in Katowice - Full text
- Show
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- Cited by
- ISSN
- 1234-7655
- Language
- eng
- URI / DOI
- http://dx.doi.org/10.21307/stattrans-2020-047