An Outlier Detection Method for Circular Data Using Covratio Statistics
The existence of outlier may affect data aberrantly. However, outlier detection problem has been frequently discussed for linear data but limited on circular data. Thus, this paper discusses an outlier detection method on circular data. We focus on circular data with equal error concentration parame...
Main Authors: | Mokhtar, Nurkhairany Amyra, Zubairi, Yong Zulina, Hussin, Abdul Ghapor, Moslim, Nor Hafizah |
---|---|
Format: | Article |
Published: |
Faculty of Science, University of Malaya
2019
|
Subjects: |
Similar Items
-
A clustering approach to detect multiple outliers in linear functional relationship model for circular data
by: Mokhtar, Nurkhairany Amyra, et al.
Published: (2018) -
Outlier detection in a circular regression model using COVRATIO statistic
by: Mohamed, I., et al.
Published: (2013) -
Comparative study of clustering-based outliers detection methods in circular-circular regression model
by: Siti Zanariah, Satari, et al.
Published: (2021) -
A comparison of asymptotic and bootstrapping approach in constructing confidence interval of the concentration parameter in von mises distribution
by: Nor Hafizah, Moslim, et al.
Published: (2019) -
A Comparison of Asymptotic and Bootstrapping Approach in Constructing Confidence Interval of the Concentration Parameter in von Mises Distribution
by: Moslim, Nor Hafizah, et al.
Published: (2019)