A technique is presented for determining if an estimate of covariance (or c
orrelation) of two time series is statistically significantly different fro
m zero. The technique makes no assumptions about the spectrum or the probab
ility distribution of either time series. It is more efficient than the met
hod of Yamazaki and Osborn and Fleury and Lueck by several factors of 10.