Open AccessMathematics

R. Anguelov, N. Kyurkchiev, S. Markov

2018.8.14Biomath

DOI: 10.11145/j.biomath.2018.07.317

Abstract

The paper considers the sigmoid function definedthrough the hyper-log-logistic model introduced by Blumberg. We study the Hausdorff distance of this sigmoid to the Heaviside function, which characterises the shape of switching from 0 to 1. Estimates of the Hausdorff distance in terms of the intrinsic growth rate are derived. We construct a family of recurrence generated sigmoidal functions based on the hyper-log-logistic function. Numerical illustrations are provided.

Citation format

ANGUELOV, R.; KYURKCHIEV, N.; MARKOV, S. Some properties of the blumberg's hyper-log-logistic curve. Biomath, 2018.