ISE Forecasting and Predictive Analytics with Forecast X (TM)
McGraw-Hill Education (Verlag)
978-1-260-08523-5 (ISBN)
This edition presents a broad-based survey of business forecasting methods including subjective and objective approaches. As always, the author team of Keating and Wilson deliver practical how-to forecasting techniques, along with dozens of real world data sets while theory and math are held to a minimum.
Software company producing Forecast X, which will accompany this edition of BUSINESS FORECASTING.
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
| Erscheinungsdatum | 04.07.2018 |
|---|---|
| Verlagsort | OH |
| Sprache | englisch |
| Maße | 185 x 231 mm |
| Gewicht | 717 g |
| Themenwelt | Wirtschaft ► Betriebswirtschaft / Management |
| ISBN-10 | 1-260-08523-6 / 1260085236 |
| ISBN-13 | 978-1-260-08523-5 / 9781260085235 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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