A Note on Estimation of Multi-Sigmoidal Gompertz Functions with Random Noise

Fuente: arXiv
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Main Authors: Román-Román, Patricia, Serrano-Pérez, Juan José, Torres-Ruiz, Francisco
Format: Preprint
Published: 2024
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_version_ 1866913214754717696
author Román-Román, Patricia
Serrano-Pérez, Juan José
Torres-Ruiz, Francisco
author_facet Román-Román, Patricia
Serrano-Pérez, Juan José
Torres-Ruiz, Francisco
contents The behaviour of many dynamic real phenomena shows different phases, with each one following a sigmoidal type pattern. This requires studying sigmoidal curves with more than one inflection point. In this work, a diffusion process is introduced whose mean function is a curve of this type, concretely a transformation of the well-known Gompertz model after introducing in its expression a polynomial term. The maximum likelihood estimation of the parameters of the model is studied, and various criteria are provided for the selection of the degree of the polynomial when real situations are addressed. Finally, some simulated examples are presented.
format Preprint
id arxiv_https___arxiv_org_abs_2401_15737
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Note on Estimation of Multi-Sigmoidal Gompertz Functions with Random Noise
Román-Román, Patricia
Serrano-Pérez, Juan José
Torres-Ruiz, Francisco
Statistics Theory
Probability
60M20, 60J60, 60J70
The behaviour of many dynamic real phenomena shows different phases, with each one following a sigmoidal type pattern. This requires studying sigmoidal curves with more than one inflection point. In this work, a diffusion process is introduced whose mean function is a curve of this type, concretely a transformation of the well-known Gompertz model after introducing in its expression a polynomial term. The maximum likelihood estimation of the parameters of the model is studied, and various criteria are provided for the selection of the degree of the polynomial when real situations are addressed. Finally, some simulated examples are presented.
title A Note on Estimation of Multi-Sigmoidal Gompertz Functions with Random Noise
topic Statistics Theory
Probability
60M20, 60J60, 60J70
url https://arxiv.org/abs/2401.15737