摘要: In univariate calibration, two standard estimators are usually opposed: the classical estimator and inverse regression estimator. Controversies have followed use of both we consider them from a decision-theoretic perspective, establishing inadmissibility admissibility The latter allowing for Bayesian interpretation, also develop fully noninformative study calibration model derive reference prior which avoids inconsistency drawbacks
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