Application of Generalized Space-Time Autoregressive (GSTAR) Model on Distribution of Death Case in 8 District of Central Jakarta

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Abstract

In this paper we apply Generalized Space-Time Model (GSTAR) model on Distribution of Death Case in 8 District of Central Jakarta. The GSTAR model is an extension of the STAR model. The main difference that exists between the GSTAR model and the STAR model is on assuming parameters. The parameters in the STAR model do not depend on the location, so this model is only suitable for locations with homogeneous characteristics. In the GSTAR model, the model parameters change for each location to form a diagonal matrix with parameters. The objective of this study is to model the data of death cases in Central Jakarta using GSTAR model. The data is provided by DINKES DKI (Public Health Office in Jakarta). The data describes the distribution of death cases in 8 districts of Central Jakarta in the period 2011-2017.
Original languageEnglish
Publication statusPublished - 2018
EventThe 8 th Annual Basic Science International Conference - ID, Malang, Indonesia
Duration: 1 Jan 2018 → …

Conference

ConferenceThe 8 th Annual Basic Science International Conference
CountryIndonesia
CityMalang
Period1/01/18 → …

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