C.-E. Sarndal’s scientific contributions

... Regardless of the inferential paradigm used, most SAE approaches seek to relate the variable of interest to auxiliary information from satellite and airborne remote sensing data through a statistical model. When a strong relationship exists between the auxiliary information and variable of interest, the precision of small area estimates can be substantially improved (Särndal et al., 2003). In addition to incorporating auxiliary information through regression-based frameworks, model-based SAE approaches can explicitly borrow information from outside the area of interest through the use of random effects. ...

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Multivariate spatial models for small area estimation of species-specific forest inventory parameters