A New Procedure for Generalized STAR Modeling using IAcM Approach
Utriweni Mukhaiyar, Udjianna S. Pasaribu
Journal of Mathematical and Fundamental Sciences · 2013
doi:10.5614/itbj.sci.2012.44.2.7 (opens in a new tab)
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Abstract
A new procedure of space-time modeling through the Invers of Autocovariance Matrix (IAcM) is proposed. By evaluating the IAcM behaviors on behalf of the Generalized Space-Time Autoregressive (GSTAR) process stationarity, we may find an appropriate model to space-time data series. This method can complete the Space-Time ACF and PACF methods for identifying space-time models. For study case, we apply the GSTAR models to the monthly tea production of some plantations in West Java, Indonesia.
Abstract licence: CC BY-ND
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