Detecting Outliers in Normal Data Using Modified Z-Scores
Author(s):
Abstract:
Because of importance and popularity of the Normal distribution, the samples based on this distribution has been considered and the outliers are identified using cut-off values which are dependent on the sample size. A decision problem has been structured to obtain the optimal cut-off value. The problem is solved by a simulation study with a minimax rule.
Language:
Persian
Published:
Journal of Statistical Sciences, Volume:3 Issue: 2, 2009
Pages:
119 to 139
https://www.magiran.com/p902301
سامانه نویسندگان
مقالات دیگری از این نویسنده (گان)
-
Association between Clinical Symptoms and Histological Features of Molars with Acute Pulpitis
Mahsa Dastpak, Jamileh Ghoddusi *, Amir Hossein Jafarian,
Iranian Endodontic Journal, Spring 2023 -
A bilateral fuzzy support vector machine hybridizing the Gaussian mixture model
M. Mohammadi *, M. Sarmad
Iranian journal of fuzzy systems, May-Jun 2021