Professor Armstrong is the author of Long-Range Forecasting and he is a founder of the Journal of Forecasting, the International Journal of Forecasting, the International Institute of Forecasting and the International Symposium on Forecasting. For additional information on the book and on the Forecasting Principles Project, see jscottarmstrong.com.

'...Its wide-ranging scope ensures that almost every type of forecasting activity is reviewed and summarised and distilled into principles by an expert in that particular field. ... Its broad scope and thorough summary of the available evidence makes it a valuable guide for any quantitative professional venturing into an unfamiliar area of forecasting.' John Aitchison, Director of DataSciencesResearch (www.DataSciencesResearch.com) 'This very readable handbook provides a comprehensive synopsis of the entire field of forecasting. The editor, Scott Armstrong, is highly qualified to pull together such a volume. He has been centrally involved in the development of the subject for more than two decades. Armstrong's publications cover the field, ranging from econometric modeling and the extrapolation of time-series data, to role playing and opinion-based forecasting; he is the author of the equally comprehensive book Long-Range Forecasting, which was published in 1978...In sum, Principles of Forecasting is a very handsome volume. It will be a welcome addition to any applied research library, and it should be kept near at hand by any statistician.' Journal of the Royal Statistical Society, Series D, The Statistician (forthcoming in 2003) (For the complete review, please check: forecastingprinciples.com) '... Armstrong's book goes beyond its stated goal of presenting the state of the art of forecasting research in the form of concrete principles; it sets the tone and direction for all future work in this area. The book has earned its place as the bible for forecasters and is a "must have" in every forecaster's library.' Journal of Marketing Research, XXXIX (2003)

• 1. Introduction.- 2. Role Playing.- Role Playing: A Method to Forecast Decisions.- 3. Intentions.- Methods for Forecasting from Intentions Data.- 4. Expert Opinions.- Improving Judgment in Forecasting.- Improving Reliability of Judgmental Forecasts.- Decomposition for Judgmental Forecasting and Estimation.- Expert Opinions in Forecasting: The Role of the Delphi Technique.- 5. Conjoint Analysis.- Forecasting with Conjoint Analysis.- 6. Judgmental Bootstrapping.- Judgmental Bootstrapping: Inferring Experts’ Rules for Forecasting.- 7. Analogies.- Forecasting Analogous Time Series.- 8. Extrapolation.- Extrapolation of Time-Series and Cross-Sectional Data.- Neural Networks For Time-Series Forecasting.- 9. Rule-Based Forecasting.- Rule-Based Forecasting: Using Judgment in Time-Series Extrapolation.- 10. Expert Systems.- Expert Systems for Forecasting.- 11. Econometric Methods.- Econometric Forecasting.- 12. Selecting Methods.- Selecting Forecasting Methods.- 13. Integrating, Adjusting, and Combining.- Judgmental Time-Series Forecasting Using Domain Knowledge.- Judgmental Adjustment of Statistical Forecasts.- Combining Forecasts.- 14. Evaluating Methods.- Evaluating Forecasting Methods.- 15. Assessing Uncertainly.- Prediction Intervals for Time-Series Forecasting.- Overconfidence in Judgmental Forecasting.- 16. Gaining Acceptance.- Scenarios and Acceptance of Forecasts.- 17. Monitoring Forecasts.- Learning from Experience: Coping with Hindsight Bias and Ambiguity.- 18. Applications of Principles.- Population Forecasting.- Forecasting the Diffusion of Innovations: Implications for Time-Series Extrapolation.- Econometric Models for Forecasting Market Share.- Forecasting Trial Sales of New Consumer Packaged Goods.- 19. Diffusion of Principles.- Diffusion of Forecasting Principles through Books.- Diffusion of Forecasting Principles through Software.- 20. Summary.- Standards and Practices for Forecasting.- Forecasting Standards Checklist.- External Reviewers.- About the Authors.- The Forecasting Dictionary.- Author Index.

Professor Armstrong is the author of Long-Range Forecasting and he is a founder of the Journal of Forecasting, the International Journal of Forecasting, the International Institute of Forecasting and the International Symposium on Forecasting. For additional information on the book and on the Forecasting Principles Project, see jscottarmstrong.com.

'...Its wide-ranging scope ensures that almost every type of forecasting activity is reviewed and summarised and distilled into principles by an expert in that particular field. ... Its broad scope and thorough summary of the available evidence makes it a valuable guide for any quantitative professional venturing into an unfamiliar area of forecasting.' John Aitchison, Director of DataSciencesResearch (www.DataSciencesResearch.com) 'This very readable handbook provides a comprehensive synopsis of the entire field of forecasting. The editor, Scott Armstrong, is highly qualified to pull together such a volume. He has been centrally involved in the development of the subject for more than two decades. Armstrong's publications cover the field, ranging from econometric modeling and the extrapolation of time-series data, to role playing and opinion-based forecasting; he is the author of the equally comprehensive book Long-Range Forecasting, which was published in 1978...In sum, Principles of Forecasting is a very handsome volume. It will be a welcome addition to any applied research library, and it should be kept near at hand by any statistician.' Journal of the Royal Statistical Society, Series D, The Statistician (forthcoming in 2003) (For the complete review, please check: forecastingprinciples.com) '... Armstrong's book goes beyond its stated goal of presenting the state of the art of forecasting research in the form of concrete principles; it sets the tone and direction for all future work in this area. The book has earned its place as the bible for forecasters and is a "must have" in every forecaster's library.' Journal of Marketing Research, XXXIX (2003)

• 1. Introduction.- 2. Role Playing.- Role Playing: A Method to Forecast Decisions.- 3. Intentions.- Methods for Forecasting from Intentions Data.- 4. Expert Opinions.- Improving Judgment in Forecasting.- Improving Reliability of Judgmental Forecasts.- Decomposition for Judgmental Forecasting and Estimation.- Expert Opinions in Forecasting: The Role of the Delphi Technique.- 5. Conjoint Analysis.- Forecasting with Conjoint Analysis.- 6. Judgmental Bootstrapping.- Judgmental Bootstrapping: Inferring Experts’ Rules for Forecasting.- 7. Analogies.- Forecasting Analogous Time Series.- 8. Extrapolation.- Extrapolation of Time-Series and Cross-Sectional Data.- Neural Networks For Time-Series Forecasting.- 9. Rule-Based Forecasting.- Rule-Based Forecasting: Using Judgment in Time-Series Extrapolation.- 10. Expert Systems.- Expert Systems for Forecasting.- 11. Econometric Methods.- Econometric Forecasting.- 12. Selecting Methods.- Selecting Forecasting Methods.- 13. Integrating, Adjusting, and Combining.- Judgmental Time-Series Forecasting Using Domain Knowledge.- Judgmental Adjustment of Statistical Forecasts.- Combining Forecasts.- 14. Evaluating Methods.- Evaluating Forecasting Methods.- 15. Assessing Uncertainly.- Prediction Intervals for Time-Series Forecasting.- Overconfidence in Judgmental Forecasting.- 16. Gaining Acceptance.- Scenarios and Acceptance of Forecasts.- 17. Monitoring Forecasts.- Learning from Experience: Coping with Hindsight Bias and Ambiguity.- 18. Applications of Principles.- Population Forecasting.- Forecasting the Diffusion of Innovations: Implications for Time-Series Extrapolation.- Econometric Models for Forecasting Market Share.- Forecasting Trial Sales of New Consumer Packaged Goods.- 19. Diffusion of Principles.- Diffusion of Forecasting Principles through Books.- Diffusion of Forecasting Principles through Software.- 20. Summary.- Standards and Practices for Forecasting.- Forecasting Standards Checklist.- External Reviewers.- About the Authors.- The Forecasting Dictionary.- Author Index.

Professor Armstrong is the author of Long-Range Forecasting and he is a founder of the Journal of Forecasting, the International Journal of Forecasting, the International Institute of Forecasting and the International Symposium on Forecasting. For additional information on the book and on the Forecasting Principles Project, see jscottarmstrong.com.

'...Its wide-ranging scope ensures that almost every type of forecasting activity is reviewed and summarised and distilled into principles by an expert in that particular field. ... Its broad scope and thorough summary of the available evidence makes it a valuable guide for any quantitative professional venturing into an unfamiliar area of forecasting.' John Aitchison, Director of DataSciencesResearch (www.DataSciencesResearch.com) 'This very readable handbook provides a comprehensive synopsis of the entire field of forecasting. The editor, Scott Armstrong, is highly qualified to pull together such a volume. He has been centrally involved in the development of the subject for more than two decades. Armstrong's publications cover the field, ranging from econometric modeling and the extrapolation of time-series data, to role playing and opinion-based forecasting; he is the author of the equally comprehensive book Long-Range Forecasting, which was published in 1978...In sum, Principles of Forecasting is a very handsome volume. It will be a welcome addition to any applied research library, and it should be kept near at hand by any statistician.' Journal of the Royal Statistical Society, Series D, The Statistician (forthcoming in 2003) (For the complete review, please check: forecastingprinciples.com) '... Armstrong's book goes beyond its stated goal of presenting the state of the art of forecasting research in the form of concrete principles; it sets the tone and direction for all future work in this area. The book has earned its place as the bible for forecasters and is a "must have" in every forecaster's library.' Journal of Marketing Research, XXXIX (2003)

• 1. Introduction.- 2. Role Playing.- Role Playing: A Method to Forecast Decisions.- 3. Intentions.- Methods for Forecasting from Intentions Data.- 4. Expert Opinions.- Improving Judgment in Forecasting.- Improving Reliability of Judgmental Forecasts.- Decomposition for Judgmental Forecasting and Estimation.- Expert Opinions in Forecasting: The Role of the Delphi Technique.- 5. Conjoint Analysis.- Forecasting with Conjoint Analysis.- 6. Judgmental Bootstrapping.- Judgmental Bootstrapping: Inferring Experts’ Rules for Forecasting.- 7. Analogies.- Forecasting Analogous Time Series.- 8. Extrapolation.- Extrapolation of Time-Series and Cross-Sectional Data.- Neural Networks For Time-Series Forecasting.- 9. Rule-Based Forecasting.- Rule-Based Forecasting: Using Judgment in Time-Series Extrapolation.- 10. Expert Systems.- Expert Systems for Forecasting.- 11. Econometric Methods.- Econometric Forecasting.- 12. Selecting Methods.- Selecting Forecasting Methods.- 13. Integrating, Adjusting, and Combining.- Judgmental Time-Series Forecasting Using Domain Knowledge.- Judgmental Adjustment of Statistical Forecasts.- Combining Forecasts.- 14. Evaluating Methods.- Evaluating Forecasting Methods.- 15. Assessing Uncertainly.- Prediction Intervals for Time-Series Forecasting.- Overconfidence in Judgmental Forecasting.- 16. Gaining Acceptance.- Scenarios and Acceptance of Forecasts.- 17. Monitoring Forecasts.- Learning from Experience: Coping with Hindsight Bias and Ambiguity.- 18. Applications of Principles.- Population Forecasting.- Forecasting the Diffusion of Innovations: Implications for Time-Series Extrapolation.- Econometric Models for Forecasting Market Share.- Forecasting Trial Sales of New Consumer Packaged Goods.- 19. Diffusion of Principles.- Diffusion of Forecasting Principles through Books.- Diffusion of Forecasting Principles through Software.- 20. Summary.- Standards and Practices for Forecasting.- Forecasting Standards Checklist.- External Reviewers.- About the Authors.- The Forecasting Dictionary.- Author Index.