Time Series Analysis Decomposition
Summary :Time series: observations of well-defined data at regular intervals (weekly/monthly/yearly). Components: trend (long-term), cyclical (1-7 years), seasonal (yearly), irregular (random). Models: multiplicative (Y=T×C×S×I), additive (Y=T+C+S+I). Moving average smoothing for forecasting.