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The same authors also generalized the result to provide an exact confidence region around a power curve.
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The principle of these criteria is the minimization, with respect to the design, of the expected volume of a particular exact parametric confidence region.
This paper aims at further studying the properties of X- and X′-optimal design criteria, which are based on the minimisation of the expected volumes of exact parameter confidence regions in nonlinear regression.
Chen (2000) discussed exact confidence intervals and exact joint confidence regions for the parameters based on type-II censored samples.
All conclusions were to be based on a 90% (α=0.1) rectangular confidence region, using one sided exact confidence limits.
Having an exact expression for the probability allows one to estimate the confidence region of the estimated supergenome size S.
The 'exact' joint confidence region appears to be strongly unsymmetrical.
We report precision, recall, F-score, and 95% exact confidence intervals for each metric.
The exact confidence intervals dominate the approximate procedures in one- and two-sided coverage performance.
Knapp, S.J., Stroup, W.W. & Ross, W.M. Exact confidence intervals for heritability on a progeny mean basis.
Overall response was calculated with two-sided 95% exact confidence intervals (CIs).
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