Clinical applications of errors-in-variables methodology
Gilchrist, Sophie Louise
A further assumption made by these methods is that of assuming knowledge of the error variance. Theoretical results are presented with respect to estimating all the model parameters from a single study dataset. An investigation into the practical elements of this theoretical work is presented, concluding that there is not enough information within the data to practically estimate all the model parameters.