Computer Science
4 years ago

Ridge Robust Regression Improves Health Services in Central Java 2017.

Jurnal Gaussian
PEMODELAN REGRESI RIDGE ROBUST-MM DALAM PENANGANAN MULTIKOLINIERITAS DAN PENCILAN (Studi Kasus : Faktor-Faktor yang Mempengaruhi AKB di Jawa Tengah Tahun 2017)
Eka Destiyani, Rita Rahmawati, Suparti Suparti

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The researchers used a method called Ridge Robust-MM Regression to handle problems of multicollinearity and outliers in a study on factors influencing AKB in Central Java in 2017. They found that this method improved parameter estimation and showed that most predictor variables had a significant effect on AKB. The predictor variables influenced AKB by 47.68%, with a mean squared error value of 0.01538.