Components of time series
first. The outlook (Long Term Trend: T) is likely to demonstrate the movement or change of information in the long term as the country's electricity consumption, volume of imports of crude
2. Seasonal Fluctuation (Seasonal Variation: S) refers to seasonal changes. By happened repeatedly in the past one year into the same pattern. For example, rice is high in the first quarter of the year, sales of department stores is higher in the year. Seasonal variations in the analysis are measured in terms of index season (Seasonal. Index)
3. the variable cycle (Cyclical Variation: C) refers to the movement that follows the cycle (ie, business cycles), the movement cycles are similar to seasonal variation. But is there a time period longer than
4 variances due to the unusual circumstance (Irregular Variation: I) the variation of this uncertainty. Can not be predicted in advance
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