📅 30 January 2025
DOI: 10.62951/ijamc.v2i1.109
Extended Gamma Distribution to Fitting Breast Tumors
International Journal of Applied Mathematics and Computing
Asosiasi Riset Ilmu Matematika dan Sains Indonesia (ARIMSI)
📄 Abstract
There are many patterns of breast cancer change that make it a global health challenge. The research aims to propose an expanded gamma distribution with parameters and apply it to data for (103) patients with breast cancer. Data normality tests were used, such as the Kolmigrov-Smirnov test, the Anderson-Darling test, and the Chi-square test, to fit the real data. The parameters of the proposed distribution were estimated using the maximum likelihood method. It was found that there is a large difference in the real data with positive Skewness in it. The maximum likelihood estimates reflected the suitability of the data to the proposed distribution, which indicates the accuracy of the obtained results.
🔖 Keywords
#Breast Cancer; Distribution; Normality; Skewness
ℹ️ Informasi Publikasi
Tanggal Publikasi
30 January 2025
Volume / Nomor / Tahun
Volume 2, Nomor 1, Tahun 2025
📝 HOW TO CITE
Adel Abbood Najm; Bashar Khalid Ali, "Extended Gamma Distribution to Fitting Breast Tumors," International Journal of Applied Mathematics and Computing, vol. 2, no. 1, Jan. 2025.
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