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Improving forecasting performance by employing the Taguchi method

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  • Wang, Tai-Yue
  • Huang, Chien-Yu

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  • Wang, Tai-Yue & Huang, Chien-Yu, 2007. "Improving forecasting performance by employing the Taguchi method," European Journal of Operational Research, Elsevier, vol. 176(2), pages 1052-1065, January.
    • Handle: RePEc:eee:ejores:v:176:y:2007:i:2:p:1052-1065
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    References listed on IDEAS

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    1. Tan, K. K. & Tang, K. Z., 2001. "Vehicle dispatching system based on Taguchi-tuned fuzzy rules," European Journal of Operational Research, Elsevier, vol. 128(3), pages 545-557, February.
    2. Prybutok, Victor R. & Yi, Junsub & Mitchell, David, 2000. "Comparison of neural network models with ARIMA and regression models for prediction of Houston's daily maximum ozone concentrations," European Journal of Operational Research, Elsevier, vol. 122(1), pages 31-40, April.
    3. Saab, Samer & Badr, Elie & Nasr, George, 2001. "Univariate modeling and forecasting of energy consumption: the case of electricity in Lebanon," Energy, Elsevier, vol. 26(1), pages 1-14.
    4. Lim, Christine & McAleer, Michael, 1999. "A seasonal analysis of Malaysian tourist arrivals to Australia," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 48(4), pages 573-583.
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    1. Besseris, George J., 2015. "Concurrent multiresponse non-linear screening: Robust profiling of webpage performance," European Journal of Operational Research, Elsevier, vol. 241(1), pages 161-176.
    2. Besseris, George J., 2012. "Profiling effects in industrial data mining by non-parametric DOE methods: An application on screening checkweighing systems in packaging operations," European Journal of Operational Research, Elsevier, vol. 220(1), pages 147-161.

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