dc.contributor.advisor | Manurung, Asima | |
dc.contributor.author | Ardita, Annisa Ayu | |
dc.date.accessioned | 2024-02-20T05:10:43Z | |
dc.date.available | 2024-02-20T05:10:43Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | https://repositori.usu.ac.id/handle/123456789/91562 | |
dc.description.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%. | en_US |
dc.language.iso | id | en_US |
dc.publisher | Universitas Sumatera Utara | en_US |
dc.subject | Maximum Likelihood Estimation | en_US |
dc.subject | Multinomial Probit Regression | en_US |
dc.subject | Parameter Estimation | en_US |
dc.subject | SDGs | en_US |
dc.title | Penaksiran Parameter Model Regresi Probit Multinomial Menggunakan Maximum Likelihood Estimation | en_US |
dc.type | Thesis | en_US |
dc.identifier.nim | NIM190803096 | |
dc.identifier.nidn | NIDN0015037310 | |
dc.identifier.kodeprodi | KODEPRODI44201#Matematika | |
dc.description.pages | 63 Halaman | en_US |
dc.description.type | Skripsi Sarjana | en_US |