Some explicit conditions for a stationary representation of the unilateral second-order spatial ARMA model
The analysis of the spatial data has been carried out in many disciplines such as demography, meteorology, geology and remote sensing. The spatial data modelling is important because it recognizes the phenomenon of spatial correlation in field experiments. Three main categories of the spatial models...
Main Authors: | Abdullah, Saidatulnisa, Shitan, Mahendran |
---|---|
Formato: | Artigo |
Idioma: | English |
Publicado em: |
Universiti Putra Malaysia Press
2009
|
Acesso em linha: | http://psasir.upm.edu.my/id/eprint/40553/1/Some%20Explicit%20Conditions%20for%20a%20Stationary%20Representation%20of%20the%20Unilateral%20Second-Order%20Spatial%20ARMA%20Model.pdf |
Registos relacionados
-
Some conditions of the second-order spatial unilateral autoregressive moving average model and model parameters estimation for data with missing observations
Por: Abdullah, Saidatulnisa
Publicado em: (2013) -
Some properties of the normalized periodogram of a fractionally integrated separable spatial ARMA (FISSARMA) model
Por: Ghodsi, Alireza, et al.
Publicado em: (2013) -
Autocovariance function of the Fractionally Integrated Separable Spatial ARMA (FISSARMA) models
Por: Ghodsi, Alireza, et al.
Publicado em: (2015) -
Maximum; Likelihood Estimation For The Non-Separable Spatial Unilateral Autoregressive Model.
Por: Awang, Norhashidah, et al.
Publicado em: (2008) -
An Illustration of Generalised ARMA (GARMA) Time Series Modelling of Forest Area in Malaysia.
Por: Pillai , Thulasyammal Ramiah, et al.
Publicado em: (2012)