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Infill Asymptotics Inside Increasing Domains for the Least Squares Estimator in Linear Models |
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| Authors: | Fazekas István Kukush Alexander G. |
| Affiliation: | (1) University of Debrecen, Debrecen, Hungary;(2) Kiev University, Kiev, Ukraine |
| Abstract: | A linear model observed in a spatial domain is considered. Consistency and asymptotic normality of the least squares estimator is proved when the observations become dense in a sequence of increasing domains and the error terms are weakly dependent. Similar statements are obtained for the linear errors-in-variables model. This revised version was published online in June 2006 with corrections to the Cover Date. |
| Keywords: | α -mixing asymptotic normality consistency errors-in-variables infill asymptotics least squares estimator linear model spatial observations |
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