COMPARISON OF BINARY PROBIT REGRESSION AND FOURIER SERIES NONPARAMETRIC LOGISTIC REGRESSION IN MODELING DIABETES STATUS AT HAJJ GENERAL HOSPITAL SURABAYA

Diabetes mellitus is a chronic disease with a rising global prevalence, including in Indonesia. Early detection and accurate modeling are crucial for effective prevention and management. Binary Logistic Regression (BLR) is commonly used for binary outcome modeling; however, in practice, the relation...

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Автори:	Bambang Widjanarko Otok, Muhammad Zulfadhli, Riwi Dyah Pangesti, Muhammad Idham Kurniawan, Albertus Eka Putra Haryanto, Darwis Darwis, Iwan Kurniawan
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Universitas Pattimura 2025-11-01
Серія:	Barekeng
Предмети:	categorical data bernoulli distribution binary probit regression (bpr) binary logistic regression (blr) fourier series nonparametric binary logistic regression (fsnblr)
Онлайн доступ:	https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/17870
Теги:	Додати тег Немає тегів, Будьте першим, хто поставить тег для цього запису!

COMPARISON OF BINARY PROBIT REGRESSION AND FOURIER SERIES NONPARAMETRIC LOGISTIC REGRESSION IN MODELING DIABETES STATUS AT HAJJ GENERAL HOSPITAL SURABAYA

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