kurtosisError(v)
Returns the standard error of the kurtosis of array v.
kurtosisError(m)
Returns an array with the standard error of the kurtosis excess of each column of matrix m.
See also moment kstatistic mean kurtosis
Example
A = random(10)
( 0.9086 0.3775 0.4757 0.0975 0.6874 0.3561 0.6662 0.6455 0.9967 0.7835 )
kurtosis(A)
-0.2961
kurtosisError(A)
1.3342
M = randommatrix(8,4)
/ 0.242 0.1138 0.2878 0.5975 \
| 0.4011 0.1525 0.6073 0.4521 |
| 0.8071 0.4532 0.9661 0.3587 |
| 0.7771 0.7518 0.5814 0.0918 |
| 0.7898 0.9785 0.1539 0.2929 |
| 0.3325 0.8355 0.8569 0.4011 |
| 0.9177 0.8693 0.8672 0.3896 |
\ 0.2119 0.194 0.2275 0.0123 /
kurtosisError(M)
( 1.4809 1.4809 1.4809 1.4809 )