dc.contributor.author |
Astuti, Yolanda Silvi Sri |
|
dc.date.accessioned |
2022-08-26T03:35:45Z |
|
dc.date.available |
2022-08-26T03:35:45Z |
|
dc.date.issued |
2022-04 |
|
dc.identifier.citation |
Perpustakaan |
en_US |
dc.identifier.other |
Elfitra |
|
dc.identifier.uri |
https://repository.unri.ac.id/handle/123456789/10665 |
|
dc.description.abstract |
Infant 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.provenance |
Submitted by wahyu sari yeni (ayoe32@ymail.com) on 2022-08-26T03:35:45Z
No. of bitstreams: 1
YOLANDA SILVI SRI ASTUTI _compressed.pdf: 180778 bytes, checksum: 2fc59a7ecf80662d5b58f5ed248ab16b (MD5) |
en |
dc.description.provenance |
Made available in DSpace on 2022-08-26T03:35:45Z (GMT). No. of bitstreams: 1
YOLANDA SILVI SRI ASTUTI _compressed.pdf: 180778 bytes, checksum: 2fc59a7ecf80662d5b58f5ed248ab16b (MD5)
Previous issue date: 2022-04 |
en |
dc.description.sponsorship |
Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riau |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Elfitra |
en_US |
dc.subject |
Generalized Poisson Regression |
en_US |
dc.subject |
Overdispersion |
en_US |
dc.subject |
Estimated Maximum Likelihood |
en_US |
dc.subject |
Infant Mortality Rate |
en_US |
dc.title |
ANALISIS FAKTOR KEMATIAN BAYI MENGGUNAKAN REGRESI GENERALIZED POISSON |
en_US |
dc.type |
Article |
en_US |
dc.contributor.supervisor |
Bustami, Bustami |
|