Statistical modeling study reveals superior fit of the scale mixture of Akash distribution for heavy-tailed real-world data, highlighting its utility for analyzing income distributions.
In this paper, the scale mixture of Akash (SMAK) distribution is introduced. This new distribution results from a scale mixture of the Akash distribution and the exponential distribution. The SMAK distribution is an alternative to two-parameter distributions with a heavy right tail. We study its representation, some basic properties, and maximum likelihood inference. We carry out three applications with real data, in which the SMAK distribution exhibits better performance than other distributions.
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Olmos et al. (2026) studied this question.
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