|کد مقاله||کد نشریه||سال انتشار||مقاله انگلیسی||ترجمه فارسی||نسخه تمام متن|
|896496||1472412||2014||8 صفحه PDF||سفارش دهید||دانلود رایگان|
• 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.
Journal: Technological Forecasting and Social Change - Volume 88, October 2014, Pages 98–105