Climate models exhibit errors in their simulation of historical trends of variables including sea surface temperature, winds, and precipitation, with important implications for regional and global ...

Measurement error modelling addresses the distortions that arise when true values of variables are not observed directly but are replaced by imperfect measurements ...

The first step in conducting a regression-based study is to specify a model. In real applications, this is usually the most challenging step - deciding which variables “belong” in the model and which ...