Robust designs for ratio and regression estimation

The purpose of this paper is to introduce a class of robust designs to be used with ratio estimators and extend them to regression estimators. Robustness is to be achieved against departures from a model for which the estimator is ‘optimal’. Practical implementation of the design is indicated both for large and small samples.