<p>This document is prepared as a self-study course; it is divided into eight(8) separate modules organized in terms of relevance (and to some extent, difficult):</p> <ul> <li>Module 1: Data Preparation</li> <li>Module 2: Descriptive Statistics</li> <li>Module 3: Time Series Smoothing</li> <li>Module 4: Correlogram Analysis</li> <li>Module 5: Modeling</li> <li>Module 6: Calibration</li> <li>Module 7: Residuals Diagnosis</li> <li>Module 8: Forecast</li> </ul> <p>The purpose of these modules is to demonstrate the basic steps in conducting your own time series analysis, diagnosis, and forecast, using only NumXL’s functions and tools.</p> <p>Feel free to start at any point in the course, but bear in mind that the examples build on each other from one module to the next.</p>

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Module 8 - Forecasting Mohamad 0 comments 0 votes None
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Module 6 - Model Calibration Mohamad 0 comments 0 votes None
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Module 1 - Data Preparation Mohamad 0 comments 0 votes None