Statistical modeling under partial identification: Distinguishing three types of identification regions in regression analysis with interval data
We distinguish and elaborate different types of Identification regions. We introduce a rigorous set-based Identification Region. We carefully investigate the used concepts in a detailed application example. We compare the concepts with classical procedures. We make clear the crucial role of the exact presumed assumptions.
partial identification interval data imprecise probabilities interval censoring coarse data linear regression model