Estimation of dispersion effects from robust design experiments with censored response data

A method is presented for estimating dispersion effects (DE) from robust de sign experiments (RDE) with control and noise factors involving censored re sponse data. This method is developed to discern the significance of DE fro m RDE and the method aims at analyzing a multi-level/multi-factor experimen t. This method imputes censored data by a regression based imputation techn ique, assuming that the distribution of lifetime before and after censoring is identical. This method also models the residuals to identify important DE, assuming that the distribution of the observed random variables of the model is the same with or without censored response data. Finally, the meth od is demonstrated through a numerical example. Copyright (C) 2001 John Wil ey & Sons, Ltd.