Penaksiran Parameter Model Regresi Probit Multinomial Menggunakan Maximum Likelihood Estimation

Abstract

This research aims to investigate the Multinomial Probit Regression (MNP) model using the Maximum Likelihood Estimation (MLE) method and to estimate the parameters involved in the model, including intercepts and regression coefficients. The test results, based on a case study concerning Maternal Health Risk, indicate that the Multinomial Probit model, whose parameters have been estimated using MLE, can provide a model accuracy level of 67.88%.