Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
896496 | Technological Forecasting and Social Change | 2014 | 8 Pages |
Abstract
•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.
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Authors
Pierre Nguimkeu,