Introduction to Time Series
The idea of time series forecasting is that equally spaced data points taken from past measurements will tend to predict likely data points into the future. No information about the future is considered in these analysis, only past data is used. The four components of a time series are as follows:
Understanding what an analyst or project manager is looking for is useful in interpreting the upcoming quantitative forecasting methods. Thanks for reading.
------Sincerely, Trevor Stasik.
To return to initial post about forecasting, click HERE.
To view the next blog entry in the forecasting series, click HERE.
Forecasting, Quantitative, Project Manager, Time Series