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The study aims to introduce and evaluate a new flexible family of distributions for modeling cancer data.

The Generalized Flexible Family of Distributions: Theory, Estimation, and Applications to Cancer Data

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The study aims to introduce and evaluate a new flexible family of distributions for modeling cancer data.
Developed a generalized flexible family of distributions with an additional shape parameter.
Derived statistical properties including the quantile function and moments.
Applied maximum likelihood estimation and conducted a Monte Carlo simulation for parameter evaluation.
The new model outperforms existing distributions in goodness-of-fit criteria across three cancer datasets.

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Randomized trial demonstrates effective cancer data modeling using generalized flexible distributions, suggesting enhanced analytical flexibility.

Mutsamwira et al. (2026) studied this question.

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Randomized trial demonstrates effective cancer data modeling using generalized flexible distributions, suggesting enhanced analytical flexibility.