A technique used to study the relationship between two time series, where one series records the occurrence or nonoccurrence of a discrete event of particular interest and the other consists of data for a hypothetically related variable. Relationships are established or rejected by comparison of variable behavior before or after the occurrence of like events. As a meteorological example, the method might be used to examine the influence of sunspot maxima (discrete events) on cloud cover (the variable).