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Theory and Properties of a New Pareto-Gumbel Distribution

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The new pareto-gumbel distribution improves tail behavior modeling by combining properties of both distributions.
Maximum likelihood estimation was used to estimate distribution parameters effectively in practical applications.
Transform-transformer techniques were applied, addressing the shortcomings of existing statistical distributions.
The gumbel distribution's constant skewness and kurtosis are improved upon with this newly proposed methodology.

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Theoretically combines pareto and gumbel distributions to address limitations, suggesting new applications.

Akinyele et al. (2025) studied this question.

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