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Bayesian robust experimental designs for the one-way analysis of variance

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  • Toman, Blaza

Abstract

In this paper, a simple, easily implemented procedure for the derivation of a robust Bayesian experimental design and estimator is proposed. The model is a one-way analysis of variance where the data vector is normally distributed. The prior distribution of the treatment means belongs to a particular class of normal distributions with a fixed prior mean and a set of possible covariance matrices.

Suggested Citation

  • Toman, Blaza, 1992. "Bayesian robust experimental designs for the one-way analysis of variance," Statistics & Probability Letters, Elsevier, vol. 15(5), pages 395-400, December.
    • Handle: RePEc:eee:stapro:v:15:y:1992:i:5:p:395-400
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