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Information Seminar Paper

Title

A COMPUTATIONAL APPROACH TEST IN TWO POWER LAW DISTRIBUTIONS

Pages

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Abstract

 IN THIS ARTICLE, WE APPLY A COMPUTATIONAL APPROACH TEST (CAT) BASED ON MAXIMUM LIKELIHOOD ESTIMATOR, INTRODUCED BY PAL ET AL. (2007), IN POWER LAW DISTRIBUTION. THE CAT DOES NOT REQUIRE THE KNOWLEDGE OF ANY SAMPLING DISTRIBUTION, DEPENDS HEAVILY ON NUMERICAL COMPUTATIONS AND MONTE-CARLO SIMULATION. WE APPLY THE CAT FOR TESTING THE EQUALITY OF SCALE PARAMETERS IN TWO POWER LAW POPULATIONS. SIMULATION STUDIES SHOW THAT THE ACTUAL SIZE AND POWER OF THIS METHOD IS SATISFACTORY. AT END, AN EXAMPLE WITH SIMULATION DATA IS GIVEN.

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    APA: Copy

    JAFARI, A.A., ABDOLLAHNEZHAD, K., Yeghmai, F., & MAHMOUDI, S.. (2012). A COMPUTATIONAL APPROACH TEST IN TWO POWER LAW DISTRIBUTIONS. ANNUAL IRANIAN MATHEMATICS CONFERENCE. SID. https://sid.ir/paper/925038/en

    Vancouver: Copy

    JAFARI A.A., ABDOLLAHNEZHAD K., Yeghmai F., MAHMOUDI S.. A COMPUTATIONAL APPROACH TEST IN TWO POWER LAW DISTRIBUTIONS. 2012. Available from: https://sid.ir/paper/925038/en

    IEEE: Copy

    A.A. JAFARI, K. ABDOLLAHNEZHAD, F. Yeghmai, and S. MAHMOUDI, “A COMPUTATIONAL APPROACH TEST IN TWO POWER LAW DISTRIBUTIONS,” presented at the ANNUAL IRANIAN MATHEMATICS CONFERENCE. 2012, [Online]. Available: https://sid.ir/paper/925038/en

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