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This is a Quantitative Study study.

October 10, 2025Open Access

A New Goodness-of-Fit Test for Azzalini's Skew-t Distribution Based on the Energy Distance Framework with Applications

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This method improves fit assessment for skewed data in engineering and public health, suggesting better statistical modeling practices.

The new goodness-of-fit test shows significant improvement in assessing the skew-t distribution's suitability for data.
Simulation studies reveal enhanced power in the new method compared to traditional tests, leading to more reliable inference.
The evaluation includes real-world applications to demonstrate effectiveness in diverse fields like engineering and social sciences.
Robustness against complex data is a key feature of the proposed approach, highlighting its usefulness in practical statistical modeling.

Njuki et al. (2025) studied this question.

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