AN EFFICIENT SEQUENTIAL DESIGN FOR SENSITIVITY EXPERIMENTS

In sensitivity experiments,the response is binary and each experimental unit has a critical stimulus level that cannot be observed directly.It is often of interest to estimate extreme quantiles of the distribution of these critical stimulus levels over the tested products.For this purpose a new sequential scheme is proposed with some commonly used models.By using the bootstrap repeated-sampling principle,reasonable prior distributions based on a historic data set are specified.Then,a Bayesian strategy for t...