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What is Business Forecasting Models Overview about?
This document discusses time series analysis and forecasting models. It defines the key components of a time series as trend, seasonal variation, cyclical variation, and irregular variation. It then describes various methods for isolating and projecting each of these components, including decomposition, exponential smoothing, Box-Jenkins ARIMA models. The goal is to combine the projections of each component to forecast future time series values. Both additive and multiplicative models for combining the isol
- Author
- Diya Mukherjee
- Language
- EN