It is demonstrated that the one-dimensional random walk is sensitive both t
o short and long correlation of random numbers. In the case of correlated r
andom numbers, the walker is trapped in the vicinity of the correlation. Th
e result is a multipeak range distribution of the walker. Hence, the one-di
mensional random walk can be used as a supplement to the standard tests for
revealing long correlations of the generated random numbers. By implementi
ng variety of tests to several generators we have shown that the quality ca
n be improved by using a double randomization technique only if the random
numbers, to be sampled from, an of a good quality. The sampling generator i
s less important.
We propose, as well, a generator that produces high-quality random numbers
for many stochastic processes. (C) 2000 Elsevier Science B.V. All rights re
served.