Closeness between logistic and laplace distribution
Joint Authors
al-Subuh, Samir Ahmad
al-Naji, Ali F.
Ibrahim, Qamar al-Zaman
Source
Mu'tah Journal for Research and Studies : Natural and Applied Sciences Series
Issue
Vol. 32, Issue 1 (30 Jun. 2017), pp.13-30, 18 p.
Publisher
Mutah University Deanship of Academic Research
Publication Date
2017-06-30
Country of Publication
Jordan
No. of Pages
18
Main Subjects
Abstract EN
When two distributions have the same characteristics, it is often difficult to discriminate between them.
In this study, we use the ratio of likelihoods for selecting between the logistic and the Laplace distributions for describing a set of data.
The parameters for the logistic and the Laplace distributions are estimated by using maximum likelihood (MLE), moments (MOM) and order statistic (OS) methods.
In addition, by using Monte Carlo simulations, discriminating between the two distributions is investigated in terms of the probability of correct selection (PCS) as found based on the different methods of estimation.
In general, it is found that the method of MLE outperforms all the other methods when the estimators considered are compared in term of efficiency.
American Psychological Association (APA)
al-Subuh, Samir Ahmad& al-Naji, Ali F.& Ibrahim, Qamar al-Zaman. 2017. Closeness between logistic and laplace distribution. Mu'tah Journal for Research and Studies : Natural and Applied Sciences Series،Vol. 32, no. 1, pp.13-30.
https://search.emarefa.net/detail/BIM-788320
Modern Language Association (MLA)
al-Subuh, Samir Ahmad…[et al.]. Closeness between logistic and laplace distribution. Mu'tah Journal for Research and Studies : Natural and Applied Sciences Series Vol. 32, no. 1 (2017), pp.13-30.
https://search.emarefa.net/detail/BIM-788320
American Medical Association (AMA)
al-Subuh, Samir Ahmad& al-Naji, Ali F.& Ibrahim, Qamar al-Zaman. Closeness between logistic and laplace distribution. Mu'tah Journal for Research and Studies : Natural and Applied Sciences Series. 2017. Vol. 32, no. 1, pp.13-30.
https://search.emarefa.net/detail/BIM-788320
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 29-30
Record ID
BIM-788320