1. A method of determining accuracy of predicted system behavior comprising: creating a plurality of noise adjusted analytical models, wherein each noise adjusted analytical model is an analytical performance model specifying behavior of a system and is associated with a set of predefined analytical model parameters; deriving a set of inferred analytical model parameters from each noise adjusted analytical model, wherein each set of inferred analytical model parameters depends upon a current noise adjusted analytical model and each prior noise adjusted analytical model; and for each set of inferred analytical model parameters, determining a measure of error between the set of inferred analytical model parameters and the set of predefined analytical model parameters associated with the noise adjusted analytical model from which the set of inferred analytical model parameters was derived.