GSTARX-SUR Modeling Using Inverse Distance Weighted Matrix and Queen Contiguity Weighted Matrix for Forecasting Cocoa Black Pod Attack in Trenggalek Regency

Ashari, Arif and Efendi, Achmad and Pramoedyo, Henny (2020) GSTARX-SUR Modeling Using Inverse Distance Weighted Matrix and Queen Contiguity Weighted Matrix for Forecasting Cocoa Black Pod Attack in Trenggalek Regency. In: Proceedings of the 13th International Interdisciplinary Studies Seminar, IISS 2019, 30-31 October 2019, Malang, Indonesia.

[thumbnail of 37258.pdf] PDF
37258.pdf

Download (228kB)

Abstract

Generalized Space Time Autoregressive (GSTAR) is one of the multivariate time series models considering heterogenic location. One of the GSTAR model developments is GSTARX model with additional exogenous variables. Parameters of GSTAR model could be estimated using Seemingly Unrelated Regression (SU

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 13:02
Last Modified: 17 Apr 2026 12:01
URI: http://eprints.eai.eu/id/eprint/27748

Actions (login required)

View Item
View Item