Powered Inverse Rayleigh Distribution Using DUS Transformation
نویسندگان
چکیده
This article reports an extension of powered inverse Rayleigh distribution via DUS transformation, named DUS-Powered Inverse (DUS-PIR) distribution. Some statistical properties suggested in particular, moments, mode, quantiles, order statistics, entropy, inequality measures and stress-strength parameter have been investigated extensively. To estimate the parameters, maximum likelihood estimation (MLE) is discussed. The model superiority verified through two real datasets.
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ژورنال
عنوان ژورنال: International Journal of Analysis and Applications
سال: 2023
ISSN: ['2291-8639']
DOI: https://doi.org/10.28924/2291-8639-21-2023-61