It is one of the two major approaches to time-series analysis. Component analysis regards the time series as being composed of several influences or components that are generally taken to be trendcycle, seasonal, and random movement. The seasonal and trend movements are modeled in a deterministic manner. This kind of analysis is easier than the sample-function analysis.