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6.
Process or Product Monitoring and Control
6.4. Introduction to Time Series Analysis
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| Univariate Time Series |
The term "univariate time series" refers to a time series that
consists of single (scalar) observations recorded sequentially over
equal time increments. Some examples are
monthly CO2 concentrations
and southern oscillations to predict
el nino effects.
Although a univariate time series are usually given as a single column of numbers, time is in fact an implicit variable in the time series. If the data are equi-spaced, the time variable, or index, does not need to be explicitly given. The time variable may sometimes be explicitly used for plotting the series. However, it is not used in the time series model itself. The analysis of time series where the data is not collected in equal time increments is beyond the scope of this handbook. |
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