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D-Optimal Bayesian Designs for Beta Regression Model

Poonam Singh, Ashok Kumar

Abstract


Bayesian optimal design approach uses some prior distribution of the unknown parameters of the model to obtain optimal designs. In this paper uniform and beta priors distributions are considered for unknown parameters of the model and the genetic algorithm is applied to obtain D-optimal Bayesian designs for beta regression model. The results obtained are useful in industry and medical fields.


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