calculate kurtosis in matlab and minitab but not same answer

조회 수: 4(최근 30일)
Amir Azadeh Ranjbar
Amir Azadeh Ranjbar 2021년 12월 13일
편집: dpb 2021년 12월 13일
it my data
0.53767 -1.30769 -1.34989 -0.20497
1.83389 -0.43359 3.03492 -0.12414
-2.25885 0.34262 0.72540 1.48970
0.86217 3.57840 -0.06305 1.40903
0.31877 2.76944 0.71474 1.41719
but in minitab


dpb 2021년 12월 13일
편집: dpb 2021년 12월 13일
Looks like Minitab uses the bias-corrected estimator with the "-3" convention applied --
K>> kurtosis(x(:,2),0)
ans =
K>> 3-2.37
ans =
K>> 0.63-3
ans =
With the default for the optional flag default in MATLAB (==1), then you get the result you got.
See the 'Algorithms' section of the documentation for full details.
With only 5 observations and that the estimator of K uses sum((x-xBar).^4), the random variation in the estimator is quite high and I wouldn't put much faith at all i such a statistic as far as making any judgement from it.


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