A simple selection test between the Gompertz and Logistic growth models

• A simple selection test between the Gompertz and the Logistic curves is proposed.
• The selection is based on the t-test of one parameter in a linear regression.
• Simulations studies show that the test has acceptable size and power.
• Applications to real data are provided.

This paper proposes a simple model selection test between the Gompertz and the Logistic growth models based on parameter significance testing in a comprehensive linear regression. Simulations studies are provided to show the accuracy of the method. Two real-data examples are also provided to illustrate the implementation of the proposed method in practice.