مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

986
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

3

Information Journal Paper

Title

PREDICTION CRUDE OIL SUPPLY IN THE ELEVEN PRODUCING COUNTRIES: USE OF NEURAL NETWORKS AND LINEAR REGRESSION (1980-2006)

Pages

  98-119

Abstract

 Most oligopolistic models in the oil market begin with the assumption that OPEC is a cartel. Successive increases in oil prices during recent years, and OPEC’s inability to regularize the oil market fortifies the possibility of the existence of competitive behavior in the oil market. Now, with regard to the intense fluctuations in the oil market, PREDICTION of OIL SUPPLY for politicians and oil companies is important. In the recent years, use of NEURAL NETWORKS, along with econometrical methods, of forecasting of economic variables is a norm. Because NEURAL NETWORKS have, exclusive characteristics like release of statistical hypotheses and capability of solving complex nonlinear problems. In this article in addition to PREDICTION OIL SUPPLY in the eleven producing countries, by use of linear regression and NEURAL NETWORKS, the results of every country are separately compared. The estimation results show that NEURAL NETWORKS are presenting better PREDICTIONs in comparison to the linear regression models.

Cites

References

  • No record.
  • Cite

    APA: Copy

    SHAKIBAEI, A.R., NEZAMABADI POUR, H., & HOSSEINI, SEYED JAFAR. (2009). PREDICTION CRUDE OIL SUPPLY IN THE ELEVEN PRODUCING COUNTRIES: USE OF NEURAL NETWORKS AND LINEAR REGRESSION (1980-2006). KNOWLEDGE AND DEVELOPMENT, 16(27), 98-119. SID. https://sid.ir/paper/75703/en

    Vancouver: Copy

    SHAKIBAEI A.R., NEZAMABADI POUR H., HOSSEINI SEYED JAFAR. PREDICTION CRUDE OIL SUPPLY IN THE ELEVEN PRODUCING COUNTRIES: USE OF NEURAL NETWORKS AND LINEAR REGRESSION (1980-2006). KNOWLEDGE AND DEVELOPMENT[Internet]. 2009;16(27):98-119. Available from: https://sid.ir/paper/75703/en

    IEEE: Copy

    A.R. SHAKIBAEI, H. NEZAMABADI POUR, and SEYED JAFAR HOSSEINI, “PREDICTION CRUDE OIL SUPPLY IN THE ELEVEN PRODUCING COUNTRIES: USE OF NEURAL NETWORKS AND LINEAR REGRESSION (1980-2006),” KNOWLEDGE AND DEVELOPMENT, vol. 16, no. 27, pp. 98–119, 2009, [Online]. Available: https://sid.ir/paper/75703/en

    Related Journal Papers

    Related Seminar Papers

    Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button