A small area estimation area-level spatio-temporal multivariate model is introduced. The residual maximum likelihood estimation procedure is adopted, in order to apply the model and assessing by simulations the property of the model. Diagnostics and influence analysis issues are also analyzed. The focus is on the relationshipsbetweenmultivariatesurveypopulationcharacteristicsinthesmallareas, and the model spatial correlation and time autocorrelation parameters.

Spatial Temporal Multivariate Small Area Estimation

Salvatore Renato
2016-01-01

Abstract

A small area estimation area-level spatio-temporal multivariate model is introduced. The residual maximum likelihood estimation procedure is adopted, in order to apply the model and assessing by simulations the property of the model. Diagnostics and influence analysis issues are also analyzed. The focus is on the relationshipsbetweenmultivariatesurveypopulationcharacteristicsinthesmallareas, and the model spatial correlation and time autocorrelation parameters.
2016
9788861970618
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11580/68301
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