The Weighted Inverse Weibull Distribution
Adetunji K. Ilori and
Damilare Matthew Oladimeji
Additional contact information
Adetunji K. Ilori: Statistics Programme, National Mathematical Center, Abuja, Nigeria Kaduna-Lokoja Expressway, Sheda, Kwali, Abuja, Nigeria
Damilare Matthew Oladimeji: Department of Statistics, University of Abuja, FCT, Nigeria
International Journal of Research and Innovation in Applied Science, 2022, vol. 7, issue 4, 14-19
Abstract:
This paper introduces the Weighted Inverse Weibull distribution as inverse weighting of the Inverse Weibull distribution. Its various basic statistical properties were explicitly derived and the method of maximum likelihood estimation was used in estimating the model parameters. The model was applied to two real life data sets and its performance and flexibility was assessed with respect to existing distribution using the log-likelihood and Akaike Information Criteria as basis for judgment.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.rsisinternational.org/journals/ijrias/ ... -7-issue-4/14-19.pdf (application/pdf)
https://www.rsisinternational.org/virtual-library/ ... 051938702.1694191524 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bjf:journl:v:7:y:2022:i:4:p:14-19
Access Statistics for this article
International Journal of Research and Innovation in Applied Science is currently edited by Dr. Renu Malsaria
More articles in International Journal of Research and Innovation in Applied Science from International Journal of Research and Innovation in Applied Science (IJRIAS)
Bibliographic data for series maintained by Dr. Renu Malsaria ().