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Global warming : a guide to the science
Soon, Willie (contributor) - 2001
Persistent link: https://www.econbiz.de/10001629504
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Findings from evidence-based forecasting : methods for reducing forecast error
Armstrong, Jon Scott - In: International journal of forecasting 22 (2006) 3, pp. 583-598
Persistent link: https://www.econbiz.de/10003355974
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Moneyball for managers : Paul Meehl's legacy
Armstrong, Jon Scott - 2012
Persistent link: https://www.econbiz.de/10009505615
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Long-range forecasting : from crystal ball to computer
Armstrong, Jon Scott - 1978
Persistent link: https://www.econbiz.de/10009511123
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Significance tests harm progress in forecasting : comment
Stekler, Herman O. - In: International journal of forecasting 23 (2007) 2, pp. 329-330
Persistent link: https://www.econbiz.de/10003483842
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Comments on "Significance tests harm progress in forecasting"
Ord, John Keith - In: International journal of forecasting 23 (2007) 2, pp. 331-332
Persistent link: https://www.econbiz.de/10003483858
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Should we be using significance tests in forecasting research?
Goodwin, Paul - In: International journal of forecasting 23 (2007) 2, pp. 333-334
Persistent link: https://www.econbiz.de/10003483862
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Golden rule of forecasting rearticulated : forecast unto others as you would have them forecast unto you
Green, Kesten C.; Armstrong, Jon Scott; Graefe, Andreas - In: Journal of business research : JBR 68 (2015) 8, pp. 1768-1771
Persistent link: https://www.econbiz.de/10011317064
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Decomposition of time-series by level and change
Tessier, Thomas H.; Armstrong, Jon Scott - In: Journal of business research : JBR 68 (2015) 8, pp. 1755-1758
Persistent link: https://www.econbiz.de/10011317067
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Is a more liberal approach to conservatism needed in forecasting?
Goodwin, Paul - In: Journal of business research : JBR 68 (2015) 8, pp. 1753-1754
Persistent link: https://www.econbiz.de/10011317068