Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal EKOLOGIA : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup
Alvionita, Veny
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Environmental Science Mathematics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
ANALISIS REGRESI POISSON INVERSE GAUSSIAN UNTUK MENENTUKAN FAKTOR-FAKTOR YANG MEMPENGARUHI JUMLAH KASUS DEMAM BERDARAH DENGUE (DBD) Marizal, Muhammad; Alvionita, Veny
Ekologia: Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup Vol 23, No 1 (2023): Ekologia : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/ekologia.v23i1.6553

Abstract

One of the census data is the number of dengue cases where to model the data can be done using poisson regression. Poisson regression has an assumptions that must be met, namely the average value dan variance must be the same or colled (equidispersion). But, in this study, the data experienced a violation in ehich the variance value was greater than the average value or colled (overdispersion). To overcome thie problem by using the mixed poisson method, namely poisson inverse gaussian regression for count data that is overdispersed and has a likelihood function that is cloce form, that is the parameters are know, so many researchers use this model. The number of DBD cases in Riau Province is counting data that has overdispersion. So therefore, to model the number of cases of DBD using poisson inverse gaussian regression. Based on the model used, it shows the factors that influence the number of dengue cases in Riau Province in 2019, namely the number of health facilities.
Co-Authors M Marizal