
Forecasting and Predictive Analytics with Forecast X (TM), 7th Edition
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Instructor Details
Forecasting and Predictive Analytics, Seventh Edition, is the most practical forecasting book on the market with the most powerful software: ForecastX. This edition presents a broad-based survey of business forecasting methods, including subjective and objective approaches. The authors, Keating and Wilson, deliver practical how-to forecasting techniques, along with dozens of real-world data sets while holding theory and math to a minimum.
2: The Forecast Process, Data Considerations, and Model Selection
3: Extrapolation 1. Moving Averages and Exponential Smoothing
4: Extrapolation 2. Introduction to Forecasting with Regression Trend Models
5: Explanatory Models 1. Forecasting with Multiple Regression Causal Models
6: Explanatory Models 2. Time-Series Decomposition
7: Explanatory Models 3. ARIMA (Box-Jenkins) Forecasting Models
8: Predictive Analytics: Helping to Make Sense of Big Data
9: Classification Models: The Most Used Models in Analytics
10:Ensemble Models and Clustering
11: Text Mining
12: Forecast/Analytics Implementation
Main Features
- LMS Integration
- Print/Loose-Leaf Book Add-On Availability
- Presentation Slides & Instructor Resources
- Question & Test Banks
- Adaptive Assignments
- Student Progress Reporting & Analytics
- Essay Prompts
- Polling
- Prebuilt Courses
- Interactive Exercises
- eBook Access (ReadAnywhere App)
- Remote Proctoring (Proctorio)
- Subject-Specific Tools

Affordability
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