Analysis of the Optimal Testing Number in Dispersion Evaluation of Falling Points

Related problems of experimental design in dispersion evaluation of falling points are discussed from the view of Bayesian decision, and the loss function is introduced. The prior analysis, posterior analysis and preposterior analysis are studied for dispersion evaluation of falling points. The optimal testing number is determined by minimizing the risk of sampling, and Bayesian decision for dispersion characteristic of falling points is analyzed according to the testing results. The simulation shows the proposed method reasonable.