A Note on Bayesian Design for the Normal Linear Model with Unknown Error Variance
The Bayesian theory of optimal experimental design for the normal linear model has been developed under the assumption of known variance. The insensitivity of specific design criteria to prior assumptions on the variance distribution has been demonstrated in special cases, but a general result showi...
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Veröffentlicht in: | Biometrika 2000-03, Vol.87 (1), p.222-227 |
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Format: | Artikel |
Sprache: | eng |
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