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:: Volume 20, Issue 2 (10-2015) ::
Andishe 2015, 20(2): 11-16 Back to browse issues page
Introduction Package CircOutlier For Detection of Outliers in Circular-Circular Regression
Azade Ghazanfari Hesari *
Abstract:   (4397 Views)

One of the most important problem in any statistical analysis is the existence of unexpected observations. Some
observations are not a part of the study and are known as outliers. Studies have shown that the outliers affect to the
performance of statistical standard methods in models and predictions. The point of this work is to provide a couple
of statistical package in R software to identify outliers in circular-circular regression which is written by the author,
we introduce a brief explanation about the circular data and circular regression, then the packages in R for circular
regression introduced. After wand, the functions in the package CircOutlier will be described.

Keywords: Detection of Outlier in Circular-Circular Regression, R Software, CircOutlier Package.
Full-Text [PDF 241 kb]   (2421 Downloads)    
Subject: Special
Received: 2015/11/24 | Accepted: 2016/07/27 | Published: 2016/07/27
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Ghazanfari Hesari A. Introduction Package CircOutlier For Detection of Outliers in Circular-Circular Regression. Andishe 2015; 20 (2) :11-16
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Volume 20, Issue 2 (10-2015) Back to browse issues page
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