Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/236797 
Year of Publication: 
2020
Citation: 
[Journal:] Statistics in Transition New Series [ISSN:] 2450-0291 [Volume:] 21 [Issue:] 3 [Publisher:] Exeley [Place:] New York [Year:] 2020 [Pages:] 109-128
Publisher: 
Exeley, New York
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.
Subjects: 
Fréchet distribution
Wiebull distribution
structural properties
failure-time
maximum likelihood estimation
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

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