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September 24, 2025Open Access

A novel approach to generate distributions

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The novel method enhances adaptability by introducing additional parameters to distributions, improving flexibility.
A new regression model for unimodal continuous data was developed, reparameterizing response variables based on the median.
Utilizing maximum likelihood estimation, this method shows potential for precise parameter estimation using real datasets.
Quantile residual analysis validated the adequacy of the new regression model, indicating strong statistical performance.

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This approach introduces new parameters for distributions, highlighting improved regression model fit for unimodal data.

Dutta et al. (2025) studied this question.

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