不同先验信息下D-优化法的估值精度及其适用性

采用Monte Carlo模拟仿真方法,研究了感度试验在具有不同的先验信息情况下D-优化法对感度总体参数的估值精度的影响.并将其与升降法和兰利法两种试验方法进行了对比研究.结果表明,D-优化法对初始参数的设置依赖性较小;当具有一定感度总体参数先验信息的情况下,采用升降法进行试验可以得到更准确的均值,而采用D-优化法则可以得到更准确的标准差;在对样品感度信息掌握较少的情况下,D-优化法的估值精度优于其它两种方法,在只掌握试验样品的均值,对标准差不了解的情况下,兰利法可以得到更准确的均值估计,而D-优化法则可以得到更准确的标准差;在任何情况下,D-优化法对标准差及P响应点的估值精度优于升降法和兰利法.

Estimation and Its Applicability of D-Optimality-Based Sensitivity Test under Different Prior Information

The effects of different prior(known) information on the estimation precision of mean and standard deviation value from D-optimality-based sensitivity test method were studied by Monte Carlo simulation,and the results were compared with that from the other two sensitivity test methods(up-and-down method and Langlie method).The results show that the primary test parameter has less effect on the estimation precision from D-optimality than that from the other two methods.More accurate mean values can be obtain...