1. A method of determining accuracy of predicted system behavior comprising: creating a plurality of noise adjusted analytical models by adding noise to each of a plurality of analytical performance models, wherein each noise adjusted analytical model is an analytical performance, queuing model specifying behavior of a queuing system and is associated with a set of predefined analytical model parameters, wherein the queuing system represented by each of the noise adjusted analytical models comprises a plurality of nodes with each node being represented as a queuing server; inference processing the noise adjusted analytical models to derive a set of inferred analytical model parameters for each noise adjusted analytical model that, if provided to a network solver, produces the noise adjusted analytical model from which the inferred analytical model parameters were inferred, 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.