Description

Book Synopsis
The Seventh Edition of Business Forecasting is the most practical forecasting book on the market with the most powerful software-Forecast X.

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.




Table of Contents
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

ISE Forecasting and Predictive Analytics with

    Product form

    £51.29

    Includes FREE delivery

    RRP £56.99 – you save £5.70 (10%)

    Order before 4pm today for delivery by Tue 30 Jun 2026.

    A Paperback / softback by Barry Keating, J. Holton Wilson, John Solutions Inc.

    15 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of ISE Forecasting and Predictive Analytics with by Barry Keating

      Publisher: McGraw-Hill Education
      Publication Date: 04/03/2018
      ISBN13: 9781260085235, 978-1260085235
      ISBN10: 1260085236

      Description

      Book Synopsis
      The Seventh Edition of Business Forecasting is the most practical forecasting book on the market with the most powerful software-Forecast X.

      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.




      Table of Contents
      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

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account