On the Accuracy of the Sine Power Lomax Model for Data Fitting

Every day, new data must be analysed as well as possible in all areas of applied science, which requires the development of attractive statistical models, that is to say adapted to the context, easy to use and efficient. In this article, we innovate in this direction by proposing a new statistical m...

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Bibliographic Details
Published in:Modelling 2021-03, Vol.2 (1), p.78-104
Main Authors: Nagarjuna, Vasili B. V., Vardhan, R. Vishnu, Chesneau, Christophe
Format: Article
Language:English
Subjects:
Applied mathematics
Bladder cancer
Datasets
Electric power distribution
Goodness of fit
Model accuracy
Random variables
Statistical models
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Summary:Every day, new data must be analysed as well as possible in all areas of applied science, which requires the development of attractive statistical models, that is to say adapted to the context, easy to use and efficient. In this article, we innovate in this direction by proposing a new statistical model based on the functionalities of the sinusoidal transformation and power Lomax distribution. We thus introduce a new three-parameter survival distribution called sine power Lomax distribution. In a first approach, we present it theoretically and provide some of its significant properties. Then the practicality, utility and flexibility of the sine power Lomax model are demonstrated through a comprehensive simulation study, and the analysis of nine real datasets mainly from medicine and engineering. Based on relevant goodness of fit criteria, it is shown that the sine power Lomax model has a better fit to some of the existing Lomax-like distributions.
ISSN:2673-3951
2673-3951
DOI:10.3390/modelling2010005