On an $\left( \iota ,x_{0}\right) $-Generalized Logistic-Type Function

Abstract

In this article, some mathematical properties of $\left( \iota ,x_{0}\right) $-generalized logistic-type function are presented. This four-parameter generalized function can be considered as a statistical phenomenon enhancing more vigorous survival analysis models. Moreover, the behaviors of the relevant parametric functions obtained are examined with graphics using computer programming language Python 3.9.

Keywords

• logistic function
• sigmoid function
• activation function
• survival analysis
• NumPy
• SymPy
• Matplotlip
• statistics
• soft computing

References

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