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The model is applied in two real data analysis.
Two real data sets are applied to illustrate the flexibility of the distributions.
In Section 3 we provide some illustrative toy examples followed by two real data examples.
In Section 7, two real data sets are used to illustrate the proposed methods.
The usefulness of the new family is illustrated by means of two real data sets.
The applicability of the new models is well justified by means of two real data sets.
Two real data sets are used to illustrate the applications of the Kumaraswamy-geometric distribution.
The uniform-exponential{generalized lambda} distribution is applied to fit two real data sets.
Here, the usefulness of the ℳ O E W distribution is illustrated by means of two real data sets.
In Section 5, two real data sets are used to illustrate the flexibility of T-X{ Y family of distributions.
Ultimately, we fit some EMO-G distributions to two real data sets to demonstrate the potentiality of this family.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com