Abstract
The analysis of spatial models has received much attention in the last three decades. It involves methods which take into account the data location for exploring and modelling spatial data. Spatial modelling has its applications in many fields like geology, geography, agriculture, meteorology, economics etc. In this paper, the unilateral second-order spatial autoregressive model, denoted as
Acknowledgements
The authors are grateful to the referees and the editor in chief of the journal “Random Operators and Stochastic Equations” for the comments that greatly improved this manuscript.
References
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