Handle outliers for Frechet distribution
2021 ◽
Vol 23
(09)
◽
pp. 853-863
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This paper aims to handle outlier data for Frechet distribution. This study focused on two ways to deal with outliers. The rst way is to censor the ob- servation with the same percentage of outlier data. The second way is to trim outlier observations. A Monte Carlo simulation study is carried out to compare these ways in terms of estimate average, relative bias, and root mean square error (RMSE) using Mathematica-10.
Keyword(s):
2008 ◽
Vol 32
(2)
◽
pp. 63-68
Keyword(s):
2021 ◽
Vol 574
◽
pp. 126014
Keyword(s):