With the help of
statsmodels.expected_robust_kurtosis() method, we can calculate the expected value of robust kurtosis measure by using
statsmodels.expected_robust_kurtosis() method.
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Syntax : statsmodels.expected_robust_kurtosis(ab, db)
Return : Return the four kurtosis value i.e kr1, kr2, kr3 and kr4.
Example #1 :
In this example we can see that by using
statsmodels.expected_robust_kurtosis() method, we are able to get the expected value of robust kurtosis measure by using this method.
Output :
[3.0000000 1.23309512 2.58522712 2.90584695]
Example #2 :
