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Information Journal Paper

Title

COMPARISON OF FRACTAL AND CLASSICAL STATISTICS METHODS FOR SEPARATION OF URANIUM AND THORIUM ANOMALIES IN DEH-SEYAHAN AREA (KERMAN, IRAN)

Pages

  61-69

Abstract

 In this paper, in the first method, separation of anomaly values have been performed by means of classical statistics, the tables of frequency distribution of Uranium and Thorium have been designed, and then the frequency distribution histograms that are introducer of distribution and dispersion of Uranium and Thorium have been plotted. After plotting frequency distribution histograms, the statistical parameters of these elements have estimated. Then separation of anomaly value has done on the base of dispersion around the average. In the fractal method separation have done by use of concentration- area curves. At the end introduction of anomaly maps and separation of anomaly values and background have been prepared on the base of calculations of classical statistics and fractal methods.

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    APA: Copy

    JAFARI, HAMID REZA, & ZIA ZARIFI, AFSHAR. (2009). COMPARISON OF FRACTAL AND CLASSICAL STATISTICS METHODS FOR SEPARATION OF URANIUM AND THORIUM ANOMALIES IN DEH-SEYAHAN AREA (KERMAN, IRAN). JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), 6(20), 61-69. SID. https://sid.ir/paper/164561/en

    Vancouver: Copy

    JAFARI HAMID REZA, ZIA ZARIFI AFSHAR. COMPARISON OF FRACTAL AND CLASSICAL STATISTICS METHODS FOR SEPARATION OF URANIUM AND THORIUM ANOMALIES IN DEH-SEYAHAN AREA (KERMAN, IRAN). JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)[Internet]. 2009;6(20):61-69. Available from: https://sid.ir/paper/164561/en

    IEEE: Copy

    HAMID REZA JAFARI, and AFSHAR ZIA ZARIFI, “COMPARISON OF FRACTAL AND CLASSICAL STATISTICS METHODS FOR SEPARATION OF URANIUM AND THORIUM ANOMALIES IN DEH-SEYAHAN AREA (KERMAN, IRAN),” JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), vol. 6, no. 20, pp. 61–69, 2009, [Online]. Available: https://sid.ir/paper/164561/en

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