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Maximum likelihood estimation with missing spatial data and with an application to remotely sensed data
Authors:Robert Haining  Daniel Griffith  Robert Bennett
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
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.
Keywords:
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