Skew Normal Boxplot and OutliersSkew Normal Boxplot and Outliers
- Other Titles
- Skew Normal Boxplot and Outliers
- Authors
- 허명회; 이용구
- Issue Date
- 2012
- Publisher
- 한국통계학회
- Keywords
- Boxplot; outlier; skew normal distribution.
- Citation
- Communications for Statistical Applications and Methods, v.19, no.4, pp.591 - 595
- Indexed
- KCI
- Journal Title
- Communications for Statistical Applications and Methods
- Volume
- 19
- Number
- 4
- Start Page
- 591
- End Page
- 595
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/110133
- ISSN
- 2287-7843
- Abstract
- We frequently use Tukey's boxplot to identify outliers in the batch of observations of the continuous variable. In doing so, we implicitly assume that the underlying distribution belongs to the family of normal distributions. Such a practice of data handling is often superficial and improper, since in reality too many variables manifest the skewness. In this short paper, we build a modified boxplot and set the outlier identification procedure by assuming that the observations are generated from the skew normal distribution (Azzalini, 1985), which is an extension of the normal distribution. Statistical performance of the proposed procedure is examined with simulated datasets.
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Collections - College of Political Science & Economics > Department of Statistics > 1. Journal Articles
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