If cross-correlation is used, the result is called a cross-correlogram. The correlogram is a commonly used tool for checking randomness in a data set. This randomness is ascertained by computing autocorrelations for data values at varying time lags. If random, such autocorrelations should be near zero for any and all time-lag separations. If non-r...
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http://en.wikipedia.org/wiki/Correlogram
A graph illustrating the auto-correlations between members of a time series (vertical axis) for different separations in time k (horizontal axis).
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http://www.encyclo.co.uk/visitor-contributions.php
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