Optimization of experimental procedure in EMC using re-sampling techniques

Recent studies have shown a high interest in statistical methods dedicated to the prediction of the maximum confidence in simulation and measurements for Electromagnetic Compatibility. In particular, it has been shown that one of the main issues remains the access to a number of samples allowing estimating the risks with regard to the test set-up random variables. In this paper it is argued that re-sampling techniques, also called bootstrapping procedures, enable to optimize the number of experiments while estimating the maximum confidence level of the accessible samples.