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Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

This continuous distribution, with its inverted J shape, skewness towards the right side, and heavy right tail, serves as an effective probability model for various social variables, such as wealth ...

A probability density function (PDF) describes the likelihood of different outcomes for a continuous random variable.

This article aimed to present a new continuous probability density function for a non-negative random variable that serves as an alternative to some bounded domain distributions. The new distribution, ...

III. How to Calculate Continuous Probability Distribution? Calculating continuous probability distribution requires a more complex approach using integral calculus and different types of functions.

By using the clusters analysis (CA) technique, three homogeneous groups of dengue in AL were determined. Next, the LN (Lognormal), GUM (Gumbel) and GEV (Generalized Extreme Value) probability ...