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J. Scott Armstrong
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#	Item
31	The Oracle So Long – A letter from the IIF President As I step down as the President of the International Institute of Forecasters on Add to Reading List Source URL: forecasters.org Language: English - Date: 2013-12-16 11:44:53 Prediction Futurology Supply chain management Data analysis Forecasting Time series analysis Economic forecasting J. Scott Armstrong Demand forecasting Statistical forecasting Time Future
32	Principles of Forecasting: A Handbook for Researchers and Practitioners, J. Scott Armstrong (ed.): Norwell, MA: Kluwer Academic Publishers, 2001 Standards and Practices for Forecasting J. Scott Armstrong The Wharton Scho Add to Reading List Source URL: forecastingprinciples.com Language: English - Date: 2013-03-18 23:27:50 Future Futurology Data analysis Forecasting Time series analysis Estimation theory Forecast error J. Scott Armstrong Econometrics Prediction Statistical forecasting Time
33	This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and shar Add to Reading List Source URL: www.kestencgreen.com Language: English - Date: 2012-09-22 01:02:59 Intergovernmental Panel on Climate Change Statistical forecasting United Nations Environment Programme World Meteorological Organization Forecasting J. Scott Armstrong IPCC Fourth Assessment Report Met Office Global warming Climate change Atmospheric sciences Climatology
34	1 Golden Rule of Forecasting: Be Conservative June 18, 2014 Forthcoming in Journal of Business Research subject to revisions* Add to Reading List Source URL: www.kestencgreen.com Language: English - Date: 2014-06-18 19:50:45 Time Forecasting J. Scott Armstrong Regression analysis Nowcasting Econometrics Demand forecasting Calculating demand forecast accuracy Statistical forecasting Prediction Statistics
35	Principles of Forecasting: A Handbook for Researchers and Practitioners, J. Scott Armstrong (ed.): Norwell, MA: Kluwer Academic Publishers, 2001 Standards and Practices for Forecasting J. Scott Armstrong The Wharton Scho Add to Reading List Source URL: www.forecastingprinciples.com Language: English - Date: 2013-03-18 23:27:50 Future Futurology Data analysis Forecasting Time series analysis Estimation theory Forecast error J. Scott Armstrong Econometrics Prediction Statistical forecasting Time
36	EE 18-7+8_Green[removed] Add to Reading List Source URL: www.forecastingprinciples.com Language: English - Date: 2013-03-18 23:27:55 Statistical forecasting Futurology Computational science Data analysis Forecasting Time series analysis J. Scott Armstrong Weather forecasting Global climate model Atmospheric sciences Meteorology Prediction
37	To: Senator James M. Inhofe Add to Reading List Source URL: climatebet.files.wordpress.com Language: English - Date: 2009-01-27 15:26:04 Time Data analysis Forecasting Time series analysis J. Scott Armstrong Global warming controversy Precautionary principle Global warming Intergovernmental Panel on Climate Change Statistical forecasting Climate change Prediction
38	Error Measures For Generalizing About Forecasting Methods: Empirical Comparisons By J. Scott Armstrong and Fred Collopy Reprinted with permission form International Journal of Forecasting, [removed]), 69-80. Add to Reading List Source URL: faculty.weatherhead.case.edu Language: English - Date: 2009-04-09 13:53:07 Error Data analysis Estimation theory Forecasting Mean absolute percentage error Forecast error Errors and residuals in statistics Root-mean-square deviation Mean absolute error Statistics Statistical forecasting Time series analysis
39	M PRA Munich Personal RePEc Archive Add to Reading List Source URL: mpra.ub.uni-muenchen.de Language: English - Date: 2013-02-19 03:40:20 Response rate Citation Knowledge Science Time Sampling Survey methodology J. Scott Armstrong
40	Long-Range Forecasting: Chapter 1, and front and back materials Add to Reading List Source URL: forecastingprinciples.com Language: English - Date: 2013-03-18 23:27:51 Future Data analysis Forecasting Time series analysis J. Scott Armstrong Demand forecasting Technology forecasting Statistical forecasting Prediction Time

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