A non‐parametric method for experimental analysis with censored data

Considers that, occasionally, only part of an experiment can be completed owing to some uncontrollable causes such as the damage to the instrument, power failure during the experiment, and time and cost limitations. States that such incomplete data are generally referred to as censored data. Shows that conventional approaches for analysis of censored data are computationally complicated and often difficult to explain to practitioners. In this work, an effective procedure based on the rank transformation of the responses and the regression analysis is proposed for analysing an experiment with singly censored data. Proposes the procedure is simpler than conventional methods such as maximum likelihood estimation and Taguchi’s minute accumulating analysis. Verifies the proposed procedure by a numerical example.