A Note on the Properties of Generalised Separable Spatial Autoregressive Process
| Autor: | Mahendran Shitan, Shelton Peiris |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: | |
| Zdroj: | Journal of Probability and Statistics, Vol 2009 (2009) |
| Druh dokumentu: | article |
| ISSN: | 1687-952X 1687-9538 |
| DOI: | 10.1155/2009/847830 |
| Popis: | Spatial modelling has its applications in many fields like geology, agriculture, meteorology, geography, and so forth. In time series a class of models known as Generalised Autoregressive (GAR) has been introduced by Peiris (2003) that includes an index parameter δ. It has been shown that the inclusion of this additional parameter aids in modelling and forecasting many real data sets. This paper studies the properties of a new class of spatial autoregressive process of order 1 with an index. We will call this a Generalised Separable Spatial Autoregressive (GENSSAR) Model. The spectral density function (SDF), the autocovariance function (ACVF), and the autocorrelation function (ACF) are derived. The theoretical ACF and SDF plots are presented as three-dimensional figures. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|