Comparison on the Performance of Several Outlier Detection Methods in Univariate Circular Wrapped Normal Sample
This study focuses on detecting a single outlier in circular data generated from a wrapped normal (WN) distribution. The discordancy tests of M, A and G(1) statistics are used to detect single outlier in simulated data generated from wrapped normal distribution. The purpose of this study is to make...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | View Fulltext in Publisher |