Editing Telecommunications forecasting (section)

===Time series methods===

[[Time series]] methods are based on measurements taken of events on a periodic basis.<ref name="kennedy" /> These methods use such data to develop models which can then be used to extrapolate into the future, thereby generating the forecast. Each model operates according to a different set of assumptions and is designed for a different purpose. Examples of Time Series Methods are:<ref name="kennedy" />

*'''Exponential smoothing''' – This method is based on a moving average of the data being analyzed, e.g. a moving average of sales figures
*'''Cyclical and seasonal trends''' – This method focuses on previous data to help define a pattern or trend that occurs in cyclic or seasonal periods. Researchers can then use current data to adjust the pattern so that it fits this period’s data, and in so doing can forecast what will happen during the remainder of the current season or cycle.
*'''Statistical models''' – Statistical models allow the researcher to develop statistical relationships between variables. These models are based on current data and by means of extrapolation, a future model can be created. Extrapolation techniques are based on standard statistical laws, thus improving the accuracy of the prediction. Statistical techniques not only produce forecasts but also quantify precision and reliability. Examples of this are the ERLANG B and C formulae, developed in 1917 by the Danish mathematician [[Agner Erlang]].