
AbstractThis article considers the asymptotic estimation theory for the log relative potency in a symmetric parallel bioassay when uncertain prior information about the true log relative potency is assumed to be a known quantity. Three classes of point estimation, namely, the unrestricted estimator, the shrinkage restricted estimator and shrinkage preliminary test estimator are proposed. Their asymptotic mean squared errors are derived and compared. The relative dominance picture of the estimators is presented. Interestingly, proposed shrinkage preliminary test estimator dominates the unrestricted estimator in a range that is wider than that of the usual preliminary test estimator. Most importantly, the size of the preliminary test is much appropriate than the usual preliminary test estimator.
unrestricted estimator, shrinkage restricted estimator, Asymptotic properties of parametric tests, asymptotic efficiency, symmetric parallel bioassay, log relative potency, Applications of statistics to biology and medical sciences; meta analysis, relative dominance, uncertain prior information, asymptotic mean squared errors, Asymptotic properties of parametric estimators, shrinkage preliminary test estimator
unrestricted estimator, shrinkage restricted estimator, Asymptotic properties of parametric tests, asymptotic efficiency, symmetric parallel bioassay, log relative potency, Applications of statistics to biology and medical sciences; meta analysis, relative dominance, uncertain prior information, asymptotic mean squared errors, Asymptotic properties of parametric estimators, shrinkage preliminary test estimator
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