Principles of Forecasting

Table of Contents

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   Book Overview
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   Chapter 1 Introduction
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   Chapter 2 Role Playing: A Method to Forecast Decisions
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   Chapter 3 Methods for Forecasting from Intentions Data
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   Chapter 4 Improving Judgment in Forecasting
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   Chapter 5 Improving Reliability of Judgmental Forecasts
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   Chapter 6 Decomposition for Judgmental Forecasting and Estimation
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   Chapter 7 Expert Opinions in Forecasting: The Role of the Delphi Technique
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   Chapter 8 Forecasting with Conjoint Analysis
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    Chapter 9 Judgmental Bootstrapping: Inferring Experts’ Rules for Forecasting
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    Chapter 10 Forecasting Analogous Time Series
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    Chapter 11 Extrapolation for Time-Series and Cross-Sectional Data
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    Chapter 12 Neural Networks for Time-Series Forecasting
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    Chapter 13 Rule-Based Forecasting: Using Judgment in Time-Series Extrapolation
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    Chapter 14 Expert Systems for Forecasting
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    Chapter 15 Econometric Forecasting
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    Chapter 16 Selecting Forecasting Methods
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    Chapter 17 Judgmental Time-Series Forecasting Using Domain Knowledge
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    Chapter 18 Judgmental Adjustment of Statistical Forecasts
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    Chapter 19 Combining Forecasts
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    Chapter 20 Evaluating Forecasting Methods
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    Chapter 21 Prediction Intervals for Time-Series Forecasting
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    Chapter 22 Overconfidence in Judgmental Forecasting
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    Chapter 23 Scenarios and Acceptance of Forecasts
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    Chapter 24 Learning from Experience: Coping with Hindsight Bias and Ambiguity
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    Chapter 25 Population Forecasting
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    Chapter 26 Forecasting the Diffusion of Innovations: Implications for Time-Series Extrapolation
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    Chapter 27 Econometric Models for Forecasting Market Share
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    Chapter 28 Forecasting Trial Sales of New Consumer Packaged Goods
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    Chapter 29 Diffusion of Forecasting Principles through Books
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    Chapter 30 Diffusion of Forecasting Principles through Software
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    Chapter 31 Standards and Practices for Forecasting
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    Chapter 32 Forecasting Standards Checklist