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

Year 2024, , 35 - 52, 31.03.2024

Seda Karateke

https://doi.org/10.33401/fujma.1423906

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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