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Definitions for key terms related to time series analysis and forecasting, including the concepts of a time series, forecast, trend, components, moving averages, mean squared error, and various smoothing methods such as exponential smoothing and regression analysis.
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A set of observations of a variable measured at successive points in time or over successive periods of time TERM 2
DEFINITION 2 A projection or prediction of future values of a time series TERM 3
DEFINITION 3 Forecasting methods that is based on the use of historical data that are restricted to past values of the variable we are trying to forecast. TERM 4
DEFINITION 4 Forecasting methods that are based on the assumption that the variable sea re trying to forecast exhibits a cause-effect relationship with one or more other variables TERM 5
DEFINITION 5 The gradual shift or movement of the time series to relatively higher or lower values over a long period of time
Cyclical- accounts for the periodic above-trend- and below- trend behavior of the time series lasting more than one yearSeasonal- Represents the variability in the data due to seasonal influencesIrregular- represents the variability in the the time series TERM 7
DEFINITION 7 A smoothing method that uses the average of the most recent ndata values in the time series as the forecast for the next period TERM 8
DEFINITION 8 An approach to measuring the accuracy of forecasting method. The measure is the average of the sum of the squared differences between the actual time series values and the forecasted values TERM 9
DEFINITION 9 A smoothing method that uses a weighted average of the most recent n data values as the forecast TERM 10
DEFINITION 10 A smoothing method that uses a weighted average of past time series values as the forecast; it is a special case of the weighted moving averages method in which we select only one weight.