Chapter 1: Introduction to Business Forecasting and
Predictive Analytics
Chapter 2:The Forecast Process, Data Considerations, and
Model Selection
Chapter 3:Extrapolation 1. Moving Averages and Exponential
Smoothing
Chapter 4:Extrapolation 2. Introduction to Forecasting with
Regression Trend Models
Chapter 5:Explanatory Models 1. Forecasting with Multiple
Regression Causal Models
Chapter 6:Explanatory Models 2. Time-Series
Decomposition
Chapter 7:Explanatory Models 3. ARIMA (Box-Jenkins)
Forecasting Models
Chapter 8:Predictive Analytics: Helping to Make Sense of Big
Data
Chapter 9:Classification Models: The Most Used Models in
Analytics
Chapter 10:Ensemble Models and Clustering
Chapter 11:Text Mining
Chapter 12:Forecast/Analytics Implementation
Software company producing Forecast X, which will accompany this edition of BUSINESS FORECASTING.
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