Performance estimation of a white noise sequence

Sequence of pseudorandom numbers used in computers may be investigated by distributing the probabilities of the deviation of a spectral density estimate obtained by time-shift averaging. If there are no time dependences inside such sequences, their spectra must be nearly equal to the constant spectral density of white noise. Computation reveals that this assumption is refuted on a certain significance level for the random number generator currently in use.