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Information theoretic framework for process control

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  • Alwan, Layth C.
  • Ebrahimi, Nader
  • Soofi, Ehsan S.

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  • Alwan, Layth C. & Ebrahimi, Nader & Soofi, Ehsan S., 1998. "Information theoretic framework for process control," European Journal of Operational Research, Elsevier, vol. 111(3), pages 526-542, December.
    • Handle: RePEc:eee:ejores:v:111:y:1998:i:3:p:526-542
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    References listed on IDEAS

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    1. Zellner, Arnold & Highfield, Richard A., 1988. "Calculation of maximum entropy distributions and approximation of marginalposterior distributions," Journal of Econometrics, Elsevier, vol. 37(2), pages 195-209, February.
    2. John M. Cozzolino & Michael J. Zahner, 1973. "The Maximum-Entropy Distribution of the Future Market Price of a Stock," Operations Research, INFORMS, vol. 21(6), pages 1200-1211, December.
    3. Soofi, Ehsan S. & Retzer, Joseph J., 1992. "Adjustment of importance weights in multiattribute value models by minimum discrimination information," European Journal of Operational Research, Elsevier, vol. 60(1), pages 99-108, July.
    4. Hutton Barron & Charles P. Schmidt, 1988. "Sensitivity Analysis of Additive Multiattribute Value Models," Operations Research, INFORMS, vol. 36(1), pages 122-127, February.
    5. Sawa, Takamitsu, 1978. "Information Criteria for Discriminating among Alternative Regression Models," Econometrica, Econometric Society, vol. 46(6), pages 1273-1291, November.
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    Cited by:

    1. Bajgiran, Amirsaman H. & Mardikoraem, Mahsa & Soofi, Ehsan S., 2021. "Maximum entropy distributions with quantile information," European Journal of Operational Research, Elsevier, vol. 290(1), pages 196-209.
    2. Asadi, Majid & Ebrahimi, Nader & Soofi, Ehsan S., 2018. "Optimal hazard models based on partial information," European Journal of Operational Research, Elsevier, vol. 270(2), pages 723-733.
    3. Asok K. Nanda & Shovan Chowdhury, 2021. "Shannon's Entropy and Its Generalisations Towards Statistical Inference in Last Seven Decades," International Statistical Review, International Statistical Institute, vol. 89(1), pages 167-185, April.

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