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dc.contributor.advisorManurung, Asima
dc.contributor.authorArdita, Annisa Ayu
dc.date.accessioned2024-02-20T05:10:43Z
dc.date.available2024-02-20T05:10:43Z
dc.date.issued2023
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/91562
dc.description.abstractThis 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.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectMaximum Likelihood Estimationen_US
dc.subjectMultinomial Probit Regressionen_US
dc.subjectParameter Estimationen_US
dc.subjectSDGsen_US
dc.titlePenaksiran Parameter Model Regresi Probit Multinomial Menggunakan Maximum Likelihood Estimationen_US
dc.typeThesisen_US
dc.identifier.nimNIM190803096
dc.identifier.nidnNIDN0015037310
dc.identifier.kodeprodiKODEPRODI44201#Matematika
dc.description.pages63 Halamanen_US
dc.description.typeSkripsi Sarjanaen_US


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