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Sales forecasting for lower costs and higher profits
Murdick, Robert Gordon; Schaefer, Arthur Edward - 1967
Persistent link: https://www.econbiz.de/10000566964
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A forecast combination methodology for demand forecasting
May, J. Gaylord; Sulek, Joanne M. - In: Advances in business and management forecasting 4 (2006), pp. 277-287
Persistent link: https://www.econbiz.de/10003751412
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Forecasting data in litigation utilizing correlation, ARIMA and curve estimation
Jackson, Daniel L.; Cable, Sandra - In: Journal of legal economics 12 (2002) 1, pp. 39-51
Persistent link: https://www.econbiz.de/10002020056
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Demand estimation with machine learning and model combination
Bajari, Patrick L.; Nekipelov, Denis N.; Ryan, Stephen; … - 2015
Persistent link: https://www.econbiz.de/10010496176
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Bayesian variable selection for nowcasting economic time series
Scott, Steven L.; Varian, Hal R. - 2013
Persistent link: https://www.econbiz.de/10010205275
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A pari-mutuel-like mechanism for information aggregation : a field test inside Intel
Gillen, Benjamin J.; Plott, Charles; Shum, Matthew - In: Journal of political economy 125 (2017) 4, pp. 1075-1099
Persistent link: https://www.econbiz.de/10011717048
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Bayesian variable selection for nowcasting economic time series
Scott, Steven L.; Varian, Hal R. - In: Economic analysis of the digital economy, (pp. 119-135). 2015
Persistent link: https://www.econbiz.de/10014546807
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Do supplementary sales forecasts increase the credibility of financial analysts' earnings forecasts?
Keung, Edmund C. - In: The accounting review : a publication of the American … 85 (2010) 6, pp. 2047-2074
Persistent link: https://www.econbiz.de/10008807049
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Junk forecasts in the courtroom? : assessing the "S-curve" approach to calculating damages
Tomlin, Jonathan Truman; Wazzan, C. Paul - In: Journal of forensic economics 19 (2006) 3, pp. 297-309
Persistent link: https://www.econbiz.de/10003545524
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Hybrid neural network model in forecasting aggregate US retail sales
Pan, Youqin; Pohlen, Terrance; Manago, Saverio - In: Advances in business and management forecasting 9 (2013), pp. 153-170
Persistent link: https://www.econbiz.de/10009745372