ANALISIS FAKTOR KEMATIAN BAYI MENGGUNAKAN REGRESI GENERALIZED POISSON

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dc.contributor.authorAstuti, Yolanda Silvi Sri
dc.contributor.supervisorBustami, Bustami
dc.date.accessioned2022-08-26T03:35:45Z
dc.date.available2022-08-26T03:35:45Z
dc.date.issued2022-04
dc.description.abstractInfant mortality is influenced by several factors, namely the consumption of pregnant vitamins, births assisted by medical personnel, infant weight and health services for babies after birth. The infant mortality rate in Riau Province is currently 24 per 1,000 live births. This research was completed by using generalized Poisson regression because, in infant mortality data, the data did not meet the equidispersion property, where the mean data was not the same as the data variance. The results showed that the significant factors causing infant mortality were infant weight, family life behavior and vitamin consumption in pregnant women.en_US
dc.description.sponsorshipFakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riauen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.otherElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10665
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectGeneralized Poisson Regressionen_US
dc.subjectOverdispersionen_US
dc.subjectEstimated Maximum Likelihooden_US
dc.subjectInfant Mortality Rateen_US
dc.titleANALISIS FAKTOR KEMATIAN BAYI MENGGUNAKAN REGRESI GENERALIZED POISSONen_US
dc.typeArticleen_US

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