Numerical Modeling Results for the Estimation of the Confidence Intervals for Different Noise Types

摘要

We use Monte Carlo methodology to devise empirical rules for the confidence intervals estimation as a function of the number of samples for measurement data with different noise characteristics. We derive a simple function for evaluating 5% and 95% coverage when estimating measurement uncertainties using Allan Deviation (ADEV) method.