Answers are grounded in this paper and cite their sources.
This article reviews some recent work on large‐sample likelihood inference, in particular work related to conditional inference and ancillary statistics. The background discussion includes a relation between conditional inference and testing for model fit. There are brief comments on results for sequential estimation, also on the difficulties associated with multiparameter problems.
No takes yet. Share an insight, caveat, or question.
DAVID V. HINKLEY (1980) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: