A modified version of the widely used Kolmogorov-Smirnov (K-S) test of
null hypothesis is constructed, that a given time series is Gaussian
white noise, against the alternative hypothesis that the time series c
ontains an added or multiplicative deterministic-periodic component of
unspecified frequency. The usual KS test is treated as a special case
. The proposed test is more powerful than the ordinary K-S test in det
ecting extreme (low or high) hidden periodicities. Computational proce
dure necessary for implementation are also given.