relation: https://khub.utp.edu.my/scholars/17229/
title: A New Odd F-Weibull Distribution: Properties and Application of the Monthly Nigerian Naira to British Pound Exchange Rate Data
creator: Ishaq, A.I.
creator: Usman, A.
creator: Tasi'u, M.
creator: Suleiman, A.A.
creator: Ahmad, A.G.
description: This study developed a novel generalized family of probability distributions known as the Odd F generalized family of distribution. The compound Odd F-Weibull distribution was introduced from the Odd F generalized family. This distribution is an alternative to various current distributions, such as the Beta-Weibull distribution, Generalized Modified Weibull, Log-Logistic-Weibull, Frechet-Weibull and Exponentiated Exponential-Weibull distributions. We obtained the distributions of quantile function, moments and information-generating function. Moreover, the parameters of its estimates were derived using the maximum likelihood approach. Furthermore, monthly Nigerian Naira to British Pound exchange rate data was analyzed to verify the viability of developed model. The findings demon-strate that the Odd F-Weibull model outperformed better than competitive distributions by having minimal corrected akaike information and Bayesian information criteria values. © 2022 IEEE.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2022
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Ishaq, A.I. and Usman, A. and Tasi'u, M. and Suleiman, A.A. and Ahmad, A.G.  (2022) A New Odd F-Weibull Distribution: Properties and Application of the Monthly Nigerian Naira to British Pound Exchange Rate Data.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149266306&doi=10.1109%2fICDABI56818.2022.10041527&partnerID=40&md5=eb26c11490d4e2af80d94f6cf984bd61
relation: 10.1109/ICDABI56818.2022.10041527
identifier: 10.1109/ICDABI56818.2022.10041527