Analysis of Concurrent and Correlated Stirring Mechanisms in Reverberation Chambers

A new multivariate statistical analysis is proposed to derive the estimates of effective sample sizes of reverberation chamber (RC) measurement data. Concurrent correlation effects, related to different and simultaneously acting stirring mechanisms, are taken into account and individually quantified. The mean and variance of correlated measurement data are also estimated, as well as the variance of the grand mean. The analysis is independent on the parent probability distributions. Formulae are obtained through a step-by-step derivation, stemming from basic statistical principles and general assumptions, which are deemed to be applicable to the correlation structures of RC measurement data. Experiments and comparison with closed-form predictions confirm the validity and generality of the analysis.