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Introduction to Forecasting. Exploring Data Patterns and Choosing a Forecasting Technique. Moving Averages and Smoothing Methods. Time Series and Their Components. Simple Linear Regression. Multiple Regression Analysis. Regression with Time Series Data.

Real Traffic Spawn Installment. The Box-Jenkins (ARIMA) Methodology. Judgmental Forecasting and Forecast Adjustments. Managing the Forecasting Process. Appendix A: Derivations. Appendix B: Data for Case Study 7.1. Appendix C: Tables.

Appendix D: Data Sets and Databases.