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• W4283730637 abstract "In this study, a new family of odd nakagami exponential (NE-G) distributions is introduced and investigated as a new generator of continuous distributions. Quantile, hazard rate function, moments, incomplete moments, order statistics, and entropies are only a few of the statistical features that are investigated. A unique model is presented and thoroughly examined. To estimate model parameters based on describing real-life data sets, the maximum likelihood method is applied. The bias and mean square error of maximum likelihood estimators are investigated using a comprehensive simulation exercise. Finally, the new family adaptability is demonstrated via application to real-world data sets." @default.
• W4283730637 created "2022-07-01" @default.
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• W4283730637 date "2022-06-30" @default.
• W4283730637 modified "2023-10-16" @default.
• W4283730637 title "A New Family of Odd Nakagami Exponential (NE-G) Distributions" @default.
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• W4283730637 doi "https://doi.org/10.53570/jnt.1112959" @default.
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