Comparison of Estimation Accuracy between Bayesian D-Optimization Method and SenTest Method

In order to compare the valuation accuracy of Bayesian D optimization method (DS method) and SenTest method, the DS method sensitivity experimental design study was carried out, and the experimental calculation process was established. The algorithm and valuation accuracy of Bayesian D optimization method and SenTest method are studied by simulation method. The results show that under the small sample size, the DS method can quickly obtain the mixing interval and quickly obtain the mean. At medium sample sizes, the SenTest method is more robust. Therefore, the DS method is more dependent on the prior information, and in the case of unfamiliar product parameters, the DS method is not advantageous to estimate the P response point.