A simple selection test between the Gompertz and Logistic growth models

Pierre Nguimkeu

Technological Forecasting and Social Change, 2014, vol. 88, issue C, 98-105

Abstract: 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.

Keywords: Gompertz function; Logistic function; Model selection; t-test (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:88:y:2014:i:c:p:98-105

DOI: 10.1016/j.techfore.2014.06.017

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