Extended Odd Fréchet-G Family of Distributions
Author
Source
Journal of Probability and Statistics
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-02
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The need to develop generalizations of existing statistical distributions to make them more flexible in modeling real data sets is vital in parametric statistical modeling and inference.
Thus, this study develops a new class of distributions called the extended odd Fréchet family of distributions for modifying existing standard distributions.
Two special models named the extended odd Fréchet Nadarajah-Haghighi and extended odd Fréchet Weibull distributions are proposed using the developed family.
The densities and the hazard rate functions of the two special distributions exhibit different kinds of monotonic and nonmonotonic shapes.
The maximum likelihood method is used to develop estimators for the parameters of the new class of distributions.
The application of the special distributions is illustrated by means of a real data set.
The results revealed that the special distributions developed from the new family can provide reasonable parametric fit to the given data set compared to other existing distributions.
American Psychological Association (APA)
Nasiru, Suleman. 2018. Extended Odd Fréchet-G Family of Distributions. Journal of Probability and Statistics،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1197675
Modern Language Association (MLA)
Nasiru, Suleman. Extended Odd Fréchet-G Family of Distributions. Journal of Probability and Statistics No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1197675
American Medical Association (AMA)
Nasiru, Suleman. Extended Odd Fréchet-G Family of Distributions. Journal of Probability and Statistics. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1197675
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197675