The Lack of Consistency for Statistical Decision Procedures
The Lack of Consistency for Statistical Decision Procedures
Abstract Simpson's paradox exhibits seemingly deviant behavior where the data generated in independent experiments support a common decision, but the aggregated data support a different outcome. It is shown that this kind of inconsistent behavior occurs with many, if not most, statistical decision processes. Examples are given for the Kruskal-Wallis …