Measuring Forecasting Accuracy: Problems and Recommendations (by the Example of SKU-Level Judgmental Adjustments)
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[1] S. Kolassa,et al. Advantages of the MAD/Mean ratio over the MAPE , 2007 .
[2] J. Scott Armstrong,et al. On the Selection of Error Measures for Comparisons Among Forecasting Methods , 2005 .
[3] A. M. Razali,et al. New Technique to Estimate the Asymmetric Trimming Mean , 2010 .
[4] Rob J. Hyndman,et al. Another Look at Forecast Accuracy Metrics for Intermittent Demand , 2006 .
[5] Rob J Hyndman,et al. Automatic Time Series Forecasting: The forecast Package for R , 2008 .
[6] Jim Hoover,et al. Measuring Forecast Accuracy: Omissions in Today's Forecasting Engines and Demand-Planning Software , 2006 .
[7] Rand R. Wilcox,et al. Statistics for the Social Sciences , 1996 .
[8] Arnold Zellner,et al. A tale of forecasting 1001 series : The Bayesian knight strikes again , 1986 .
[9] Francis X. Diebold,et al. On the limitations of comparing mean square forecast errors: Comment , 1993 .
[10] Robert J. Genetski,et al. Long-Range Forecasting: From Crystal Ball to Computer , 1981 .
[11] Chris Chatfield,et al. Time‐series forecasting , 2000 .
[12] Philip Hans Franses,et al. Do experts' adjustments on model-based SKU-level forecasts improve forecast quality? , 2009 .
[13] Teresa M. McCarthy,et al. The Evolution of Sales Forecasting Management: A 20-year Longitudinal Study of Forecasting Practices , 2006 .
[14] J. Scott Armstrong,et al. Long-Range Forecasting: From Crystal Ball to Computer , 1981 .
[15] Spyros Makridakis,et al. Accuracy measures: theoretical and practical concerns☆ , 1993 .
[16] W. Dixon,et al. Robustness in real life: a study of clinical laboratory data. , 1982, Biometrics.
[17] D. F. Andrews,et al. Robust Estimates of Location , 1972 .
[18] Fred L. Collopy,et al. Error Measures for Generalizing About Forecasting Methods: Empirical Comparisons , 1992 .
[19] Lawrence M. Spizman,et al. A Note on Utilizing the Geometric Mean: When, Why and How the Forensic Economist Should Employ the Geometric Mean , 2008 .
[20] Robert Fildes,et al. Against Your Better Judgment? How Organizations Can Improve Their Use of Management Judgment in Forecasting , 2007, Interfaces.
[21] A. Tversky,et al. Judgment under Uncertainty: Heuristics and Biases , 1974, Science.
[22] Robert Fildes,et al. The evaluation of extrapolative forecasting methods , 1992 .
[23] G. S. Mudholkar. Fisher's z‐Transformation , 2006 .
[24] Adamantios Diamantopoulos,et al. Alternative Indicators of Forecast Revision and Improvement , 1987 .
[25] R. Fildes,et al. Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning , 2009 .
[26] J. Boylan,et al. The accuracy of intermittent demand estimates , 2005 .
[27] Juan R. Trapero,et al. Nonlinear identification of judgmental forecasts effects at SKU level , 2011 .
[28] Larry P. Ritzman,et al. Integrating judgmental and quantitative forecasts: methodologies for pooling marketing and operations information , 2004 .
[29] P. Neves,et al. Evaluating core inflation indicators , 2003 .
[30] Philip J. Fleming,et al. How not to lie with statistics: the correct way to summarize benchmark results , 1986, CACM.
[31] P. Goodwin,et al. On the asymmetry of the symmetric MAPE , 1999 .
[32] Rob J Hyndman,et al. Another look at measures of forecast accuracy , 2006 .
[33] R. Fildes,et al. Measuring forecasting accuracy : the case of judgmental adjustments to SKU-level demand forecasts , 2013 .