Modeling of Maternal Mortality and Infant Mortality Cases in East Kalimantan using Poisson Regression Approach Based on Local Linear Estimator

Research output: Contribution to journalConference articlepeer-review

9 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number012023
JournalIOP Conference Series: Earth and Environmental Science
Volume243
Issue number1
DOIs
Publication statusPublished - 9 Apr 2019
Event1st International Conference on Environmental Geography and Geography Education, ICEGE 2018 - Jember, East Java, Indonesia
Duration: 17 Nov 201818 Nov 2018

Fingerprint

Dive into the research topics of 'Modeling of Maternal Mortality and Infant Mortality Cases in East Kalimantan using Poisson Regression Approach Based on Local Linear Estimator'. Together they form a unique fingerprint.

Cite this