First Order Space Time Autoregressive Stationary Model on Petroleum Data

Authors

  • Khafsah Joebaedi Mathematics Department, FMIPA Universitas Padjadjaran, Indonesia
  • K Parmikanti Mathematics Department, FMIPA Universitas Padjadjaran, Indonesia
  • Badrulfalah Badrulfalah Mathematics Department, FMIPA Universitas Padjadjaran, Indonesia

DOI:

https://doi.org/10.24036/eksakta/vol19-iss2/152

Keywords:

autoregressive, petroleum data, STAR, first order

Abstract

First order Space-Time Autoregressive model is one of the models which involves location and time. STAR(1;1) model stationary can be used to forecast future observation at a location based on one previous time of its own location and the spatial neighborhood. STAR(1;1) model on petroleum productivity data in Balongan, Indramayu, West Java with eigenvalue less than 1. It indicates that STAR (1;1) model on petroleum productivity data in Balongan, Indramayu, West Java meets the stationary requirement

Downloads

Download data is not yet available.

Downloads

Published

2018-10-30

Issue

Vol. 19 No. 2 (2018): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)

Section

EKSAKTA: Berkala Ilmiah Bidang MIPA

License

This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted non-commercial use, distribution and reproduction in any medium

How to Cite

1.
First Order Space Time Autoregressive Stationary Model on Petroleum Data. EKSAKTA [Internet]. 2018 Oct. 30 [cited 2026 Aug. 11];19(2):62-9. Available from: https://eksakta.ppj.unp.ac.id/index.php/eksakta/article/view/152

Most read articles by the same author(s)