This paper demonstrates that the posterior estimates given by two common formulations of ‘data reconciliation’ problems result in better quality data. ‘Better quality data’ is interpreted in terms of the closeness of the posterior estimates to the true but unknown values. It is also shown that more or improved information further improves the quality of the posterior estimates. These results provide a deterministic rationale for the reconciliation of inconsistent economic data.
No takes yet. Share an insight, caveat, or question.
Frank Harrigan (1990) studied this question.
Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context: