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OTE/SPH
 OTE/SPH
 JWBK119-11
         August 31, 2006
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                                  Fisher’s Cumulant Tests                    169
      Table 11.7 Critical values of moment statistics for Fisher’s cumulant GOF test. 18
                         Sample skewness (γ 1 )        Sample skewness (γ 2 )
                        α = 5%      α = 10 %         α = 5%            α = 10 %
      Sample size, n    Upper*       Upper*       Upper (Lower)     Upper (Lower)

       20                0.940        0.772        1.68 (−1.27)      1.18 (−1.17)
       25                0.866        0.711            --                 --
       30                0.806        0.662        1.57 (−1.11)      1.12 (−1.02)
       35                0.756        0.621            --                 --
       40                0.714        0.588        1.46 (−1.01)       1.06 (0.93)
       45                0.679        0.559            --                 --
       50                0.647        0.534        1.36 (−0.94)      1.00 (−0.85)
      100                0.470        0.390        1.03 (−0.73)      0.77 (−0.65)

      *Lower limits here are equivalent to the corresponding upper limits with negative sign.

        The test statistic for assessing the kurtosis of the distribution is defined by the sample
      kurtosis,
                 n       4
             n     (x i − ¯x)

                 i=1       − 3.
                        2
        ˆ γ 2 =
             (  n  (x i − ¯x) ) 2
               i=1
        Percentage points for different critical values of ˆ 1 and ˆγ 2 for these GOF tests can
                                                   γ
      be found in Table 11.7. 18
        For large samples (n > 100), the following test statistic can be used instead of the
      sample skewness:
               ˆ γ 1
        Z 1 = √   .
               6/n
      Similarly, for large sample size, the following test statistic can be used in place of the
      sample kurtosis:
              ˆ γ 2 − 3
        Z 2 = √    .
               24/n
        Both of these statistics can be approximated by a standard normal distribution.
      Consequently, there is a combined test which simultaneously takes into account both
      the skewness and kurtosis of the distribution. This is given by
                   2
          2
              2
        X = Z + Z ,
              1    2
                             2
      which is approximately χ distributed with 2 degrees of freedom.
        The skewness and kurtosis measures computed for the data in Table 11.1 are −0.020
      and −0.933, respectively. The critical values at 5% significance level for a sample
      size of n = 40 can be obtained from Table 11.7. Two-sided ˆ 1 and ˆγ 2 tests both yield
                                                          γ
      p-values that are greater than 0.05. Hence, the null hypothesis that the data comes
      from a normal distribution cannot be rejected at the 5 % level of significance.
                      2
                                                                 2
        The combined X statistics is 1.452. This is lower than the critical χ value at the 5 %
      significance level, hence the null hypothesis cannot be rejected at the 5 % significance
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