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Information Journal Paper

Title

A GOODNESS OF FIT TEST FOR SKEW NORMAL DISTRIBUTIONS BASED ON THE EMPIRICAL MOMENT GENERATING FUNCTION

Pages

  831-842

Abstract

 There are several methods for goodness of fit test for the skew normal distribution. This work focused on method of Meintanis [8] which is based on the empirical moment generating function. This test is discussed for the known and the unknown shape parameter. Meintanis [8] claimed that power of his test is higher than the KOLMOGOROV-SMIRNOV TEST. But this claim is true only for the known shape parameter. In this paper, we provide a new method for finding his test statistic that has more efficiency. Also Meintanis [8] not determine the size of himself test for the known shape parameter which in this paper we will determine it.

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    APA: Copy

    MAGHAMI, M.M., & IRANPANAH, NASROLLAH. (2013). A GOODNESS OF FIT TEST FOR SKEW NORMAL DISTRIBUTIONS BASED ON THE EMPIRICAL MOMENT GENERATING FUNCTION. JOURNAL OF SCIENCE (KHARAZMI UNIVERSITY), 13(3), 831-842. SID. https://sid.ir/paper/43898/en

    Vancouver: Copy

    MAGHAMI M.M., IRANPANAH NASROLLAH. A GOODNESS OF FIT TEST FOR SKEW NORMAL DISTRIBUTIONS BASED ON THE EMPIRICAL MOMENT GENERATING FUNCTION. JOURNAL OF SCIENCE (KHARAZMI UNIVERSITY)[Internet]. 2013;13(3):831-842. Available from: https://sid.ir/paper/43898/en

    IEEE: Copy

    M.M. MAGHAMI, and NASROLLAH IRANPANAH, “A GOODNESS OF FIT TEST FOR SKEW NORMAL DISTRIBUTIONS BASED ON THE EMPIRICAL MOMENT GENERATING FUNCTION,” JOURNAL OF SCIENCE (KHARAZMI UNIVERSITY), vol. 13, no. 3, pp. 831–842, 2013, [Online]. Available: https://sid.ir/paper/43898/en

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