Analysis of chaotic electric maximum field by generalized extreme value

The traditional parameters estimating methods of maximum field distribution in chaotic electric field are the approximate normal method, percentile method and BC-t method, which all lead to kind of error when used in small samples and non-normal distribution. We make a careful analysis of the chaotic maximum field distribution and generalized extreme value distribution theory, and then a hybrid algorithm about the chaotic maximum field distribution is presented which based on Bootstrap resample technique, and it is found that this method is more practical and veracious through Monte Carlo simulation and reverberation chamber testing.