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

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£51.29

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RRP £56.99 – you save £5.70 (10%)

Order before 4pm tomorrow for delivery by Thu 1 Jan 2026.

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

15 in stock


    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

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