%A NIM. 17106010003 Faizal Resky Pamungkas
%O Dr. Epha Diana Supandi, S.Si., M.Sc.
%T ESTIMASI PARAMETER MENGGUNAKAN GENERALIZED POISSON REGRESSION (GPR) METODE MAXIMUM LIKELIHOOD ESTIMATION (MLE)
%X Poisson regression is a regression analysis used to model data in the form of discrete
data (count data). There is an assumption in Poisson regression that the data is
Poisson distributed and the variance and mean values of the Y response variables
are the same which is called equidispersion. If the value of variance is greater than
the mean value, then the data has an overdispersion case. Overdispersion causes
parameter estimates in the data to be less or even inaccurate. Overdispersion cases
can be handled using the Generalized Poisson Regression (GPR) model. The
method used for parameter estimation is the Newton Raphson's Maximum
Likelihood Estimation (MLE). This study explains the factors that affect the
number of deaths due to Covid-19 in Indonesia in 2021. The results of the analysis
show that the factors that significantly influence the number of deaths due to Covid-
19 in Indonesia are the percentage of deaths aged 35-45 years, percentage of death
aged 46-60 years, percentage of death with hypertension, percentage of death with
diabetes mellitus, percentage of death with heart, percentage of death with kidney,
percentage of death with lung, number of health workers.
%K Poisson regression, Generalized Poisson Regression, Maximum
Likelihood Estimation, Poisson distribution, Overdispersion
%D 2021
%I UIN SUNAN KALIJAGA YOGYAKARTA
%L digilib48618