Forecasting and Predictive Analytics

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 


Indian Cases

OVERVIEW


The seventh edition of Forecasting and Predictive Analytics with ForecastX™ builds on the success of the previous editions. While a number of significant changes have been made in this edition, it remains a book about predicti

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