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

Persian Verion
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

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

sound

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

Persian Version

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

View:

799
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

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

Cites:

Information Journal Paper

Title

THE GENERALIZATION OF MAXIMUM ENTROPY PRINCIPLE FOR GENERALIZED INFORMATION MEASURES

Author(s)

 SANEI TABASS MANIJE | MOHTASHAMI BORZADARAN GHOLAMREZA | Issue Writer Certificate 

Pages

  101-118

Abstract

 Maximum of the Renyi entropy and the Tsallis entropy are generalization of the MAXIMUM ENTROPY for a larger class of Shannon entropy. In this paper we introduce the MAXIMUM RENYI ENTROPY and some of the attributes of distributions which have MAXIMUM RENYI ENTROPY investigated. The form of distributions with MAXIMUM RENYI ENTROPY is power so we state some properties of these distributions and we have a new form of the Renyi entropy. After pointing the topics of MINIMUM RENYI DIVERGENCE, some other points in this relation have been discussed. An another form of Renyi divergence have also obtained. Therefore we discussed some of the economic applications of the MAXIMUM ENTROPY. Meanwhile, the review of the Csiszar information measure, the general form of distributions with MINIMUM RENYI DIVERGENCE have obtained.

Cites

  • No record.

    • References

  • No record.

    • Cite

    APA: Copy

    SANEI TABASS, MANIJE, & MOHTASHAMI BORZADARAN, GHOLAMREZA. (2017). THE GENERALIZATION OF MAXIMUM ENTROPY PRINCIPLE FOR GENERALIZED INFORMATION MEASURES. JOURNAL OF STATISTICAL SCIENCES, 11(1 ), 101-118. SID. https://sid.ir/paper/124076/en

    Vancouver: Copy

    SANEI TABASS MANIJE, MOHTASHAMI BORZADARAN GHOLAMREZA. THE GENERALIZATION OF MAXIMUM ENTROPY PRINCIPLE FOR GENERALIZED INFORMATION MEASURES. JOURNAL OF STATISTICAL SCIENCES[Internet]. 2017;11(1 ):101-118. Available from: https://sid.ir/paper/124076/en

    IEEE: Copy

    MANIJE SANEI TABASS, and GHOLAMREZA MOHTASHAMI BORZADARAN, “THE GENERALIZATION OF MAXIMUM ENTROPY PRINCIPLE FOR GENERALIZED INFORMATION MEASURES,” JOURNAL OF STATISTICAL SCIENCES, vol. 11, no. 1 , pp. 101–118, 2017, [Online]. Available: https://sid.ir/paper/124076/en

    Related Journal Papers

    Related Seminar Papers

  • No record.

    • Related Plans

  • No record.

    • Recommended Workshops





    Move to top