Pengarang

Resmawan

Subjek

- Sains

Abstrak

Tuberculosis, primarily affecting the lungs and other organs, was the leading cause of death worldwide before the COVID-19 pandemic and continues to be a significant health concern. This research examined tuberculosis (TB) using a panel dataset. As a consequence, the datasets may contain outliers and contemporaneous correlations. A Robust Least Median of Square (LMS) model was developed in this research by combining Seemingly Unrelated Regression (SUR) with Generalized Least Square (GLS) on panel data to provide an analysis overview to overcome outliers and contemporaneous correlations. Based on secondary data obtained from the Central Bureau of Statistics of the Gorontalo Province and the Ministry of Health of the Gorontalo Province, this research examines TB cases between 2017 and 2021. The Chow test result suggests that CEM is the most appropriate model for analyzing panel data

Penerbit

BAREKENG: Jurnal Ilmu Matematika dan Terapan 18 (4), 2293-2306

Kontributor

A Adityaningrum, R Resmawan, A Brahim, D Isa, L Nashar, A Asriadi

Terbit

2024

Tipe Material

ARTIKEL

Right

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