TY - JOUR
T1 - Modeling of Maternal Mortality and Infant Mortality Cases in East Kalimantan using Poisson Regression Approach Based on Local Linear Estimator
AU - Darnah,
AU - Utoyo, M. I.
AU - Chamidah, N.
N1 - Publisher Copyright:
© 2019 Published under licence by IOP Publishing Ltd.
PY - 2019/4/9
Y1 - 2019/4/9
N2 - The Poisson regression is the popular regression model on the discrete response variables. The regression function in the Poisson regres-sion model can be estimate by using both the parametric and the nonparametric approaches. In this research, we study the Poisson regres-sion by using the nonparametric regression approach based on local linear estimator for modeling the maternal mortality and the infant mor-tality cases in East Kalimantan Indonesia. According to the model, we get that the model works nicely to explain the relationship between the maternal mortality case and the shaman number, and between the infant mortality case and the shaman number in East Kalimantan. Also, we obtain their determination coefficient (R2) values of 0.929094 and 0.9625168, respectively.
AB - The Poisson regression is the popular regression model on the discrete response variables. The regression function in the Poisson regres-sion model can be estimate by using both the parametric and the nonparametric approaches. In this research, we study the Poisson regres-sion by using the nonparametric regression approach based on local linear estimator for modeling the maternal mortality and the infant mor-tality cases in East Kalimantan Indonesia. According to the model, we get that the model works nicely to explain the relationship between the maternal mortality case and the shaman number, and between the infant mortality case and the shaman number in East Kalimantan. Also, we obtain their determination coefficient (R2) values of 0.929094 and 0.9625168, respectively.
UR - http://www.scopus.com/inward/record.url?scp=85064861334&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/243/1/012023
DO - 10.1088/1755-1315/243/1/012023
M3 - Conference article
AN - SCOPUS:85064861334
SN - 1755-1307
VL - 243
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012023
T2 - 1st International Conference on Environmental Geography and Geography Education, ICEGE 2018
Y2 - 17 November 2018 through 18 November 2018
ER -
