ConserveOnline - Concepts and Strategies in Measurement Error Modeling, by Julie McIntyre

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Concepts and Strategies in Measurement Error Modeling, by Julie McIntyre

By Web Admin on 6/5/2007 | Keyword(s): Session v: statistical approaches and field sampling design

Researchers frequently use lattice models when modeling spatial correlation among objects such as geographic regions. First, I discuss lattice models in general, then show examples of several commonly-used lattice models. Then I focus on the Conditional Autoregression model (CAR). I describe some common errors that occur when CAR models are used for prediction, show the likelihood and prediction equations. Finally I discuss strategies for sampling objects and comparing them with the CAR model predictions to validate the model.

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