Maximum likelihood estimation with missing spatial data and with an application to remotely sensed data |
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Authors: | Robert Haining Daniel Griffith Robert Bennett |
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Affiliation: | 1. Department of Geography , University of Sheffield , U.K;2. Department of Geography , University New York , Buffalo, U.S.A;3. Department of Geography , University of London |
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Abstract: | The paper examines the small and large lattice properties of the exact maximum likelihood estimator for a spatial model where parameter estimation and missing data estimation are tackled simultaneously, A first order conditional autoregressive model is examined in detail. The paper concludes with an empirical analysis of remotely sensed data. |
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