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This document discusses time series analysis. It defines a time series as quantitative data arranged over time, like monthly industrial production figures. The key components of time series are identified as secular trends, seasonal variations, cyclical movements, and irregular fluctuations. Two models for analyzing time series are presented: the additive model, which treats the components as independent, and the multiplicative model, which treats them as interdependent. Methods for measuring trends, such a

Author

Nandini Jagan

Language

EN