Generalized space-time autoregressive (GSTAR) for forecasting Air Pollutant Index in Selangor
This study presents the Generalized Space-Time Autoregressive (GSTAR) model, a multivariate time series approach that integrates spatial and temporal observations for data forecasting. This study's primary objective is to develop and apply the GSTAR model to forecast the Air Pollutant Index (AP...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Published: |
Universiti Kebangsaan Malaysia
2023
|
Online Access: | http://psasir.upm.edu.my/id/eprint/108087/ https://www.ukm.my/jqma/jqma19-3/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Putra Malaysia |
Be the first to leave a comment!