Rahmat Hidayat, Muhammad Ilyas, Yuliani Yuliani
The world health problem that is currently in the spotlight and is very important to get the attention of scientists and the general public is the disease caused by the Corona virus. Modeling this case is one solution in handling it. In this paper, we propose modeling the daily number of Covid-19 in South Sulawesi using Spline. Spline model is used if there are no special assumptions about the data pattern. Model selection is done by using variations of one and two knot points. The best model is selected based on the minimum GCV value. As a comparison material, the Spline model is compared with parametric regression. Based on the results of the study, it was found that the Spline model could model the data better than other models. © 2025 Author(s).
Department of Statistics, Makassar State University, Makassar, Indonesia; Mathematics Education Program, Cokroaminoto Palopo University, Palopo, Indonesia; Department of Mathematics, Cokroaminoto Palopo University, Palopo, Indonesia
