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What is Forecasting Model Building & Evaluation about?

This document discusses techniques for exploring patterns in time series data and decomposing time series. It covers: 1. Exploring for stationary vs non-stationary patterns in the mean and variance. 2. Decomposing a time series into trend, seasonal, and irregular components. Trend components make a series non-stationary while seasonal components are stationary. 3. Examples of stationary and non-stationary patterns in indices and costs over time are shown.

Author

Leandro Marpaung

Language

EN