Robust circular distance and its application in the identification of outliers in the simple circular regression model

QR Code

Robust circular distance and its application in the identification of outliers in the simple circular regression model

Abstract: Background and Objective: The existence of outliers in any type of data influences the efficiency of an estimator. Few methods for detecting outliers in a simple circular regression model have been proposed in the study but it suspected that they are not very successful in the presence of...

Full description

Bibliographic Details
Main Authors:	Mahmood, Ehab A., Midi, Habshah, Rana, Sohel, Hussin, Abdul Ghapor
Format:	Article
Language:	English
Published:	Knowledgia Review, Malaysia 2017
Online Access:	http://psasir.upm.edu.my/id/eprint/63145/ http://psasir.upm.edu.my/id/eprint/63145/1/Robust%20circular%20distance%20and%20its%20application%20in%20the%20identification%20of%20outliers%20in%20the%20simple%20.pdf

Similar Items

Robust detection of outliers in both response and explanatory variables of the simple circular regression model
by: Rana, Sohel, et al.
Published: (2016)

Detection of outliers in the response and explanatory variables of the simple circular regression model
by: Mahmood, Ehab A., et al.
Published: (2016)

Adjusting outliers in univariate circular data
by: Mahmood, Ehab A., et al.
Published: (2017)

Robust trimmed mean direction to estimate circular location parameter in the presence of outliers
by: Midi, Habshah, et al.
Published: (2018)

Robust estimation of circular parameters
by: Mahmood, Ehab A., et al.
Published: (2016)

Robust detection measures and robust parameter estimation methods in circular univariate and simple circular regression model
by: Mahmood, Ehab Abdulsalam
Published: (2017)

Outlier detection in a circular regression model
by: Adzhar Rambli,, et al.
Published: (2015)

Comparative study of clustering-based outliers detection methods in circular-circular regression model
by: Siti Zanariah Satari,, et al.
Published: (2021)

Comparative study of clustering-based outliers detection methods in circular-circular regression model
by: Siti Zanariah, Satari, et al.
Published: (2021)

On a robust estimator in heteroscedastic regression model in the presence of outliers
by: Midi, Habshah, et al.
Published: (2013)

Outlier detection in circular data and circular-circular regression model / Adzhar Rambli
by: Adzhar, Rambli
Published: (2011)

Two-step robust estimator in heteroscedastic regression model in the presence of outliers
by: Midi, Habshah, et al.
Published: (2014)

Fixed parameters Support Vector Regression for outlier detection
by: Rana, Sohel, et al.
Published: (2018)

Robust Diagnostics and Estimation in Heteroscedastic Regression Model in the Presence of Outliers
by: Rana, Md. Sohel
Published: (2010)

The performance of Diagnostic-Robust F in the identification of multivariate outliers.
by: Midi, Habshah

Detection of outliers in circular regression model via DFBETAc IS statistic
by: Intan Mastura Ramlee,, et al.
Published: (2024)

The effect of different distance measures in detecting outliers using clustering-based algorithm for circular regression model
by: Nur Faraidah, Muhammad Di, et al.
Published: (2017)

Detection of outliers and influential observations in binary logistic regression: An empirical study.
by: Sarkar, S.K., et al.
Published: (2011)

Robust multivariate least angle regression
by: Uraibi, Hassan Sami, et al.
Published: (2017)

Outlier detection in multiple circular regression model using DFFITC statistic
by: Najla Ahmed Alkasadi,, et al.
Published: (2019)

Single-linkage method to detect multiple outliers with different outlier scenarios in circular regression model
by: Siti Zanariah, Satari, et al.
Published: (2018)

The performance of classical and robust logistic regression estimators in the presence of outliers
by: Midi, Habshah, et al.
Published: (2012)

Robust support vector regression model in the presence of outliers and leverage points
by: Dhhan, Waleed, et al.
Published: (2017)

Review on outliers identification methods for univariate circular biological data
by: Siti Zanariah, Satari, et al.
Published: (2020)

Robust regression imputation for analyzing missing data
by: Rana, Md. Sohel, et al.
Published: (2012)

The performance of robust weighted least squares in the presence of outliers and heteroscedastic errors
by: Midi, Habshah, et al.
Published: (2009)

Some outlier problems in a circular regression model / Safwati binti Ibrahim
by: Ibrahim, Safwati
Published: (2013)

Outlier detection in circular regression model using minimum spanning tree method
by: Nur Faraidah, Muhammad Di, et al.
Published: (2019)

The Multiple Outliers Detection using Agglomerative Hierarchical Methods in Circular Regression Model
by: Siti Zanariah, Satari, et al.
Published: (2017)

Outlier detection in circular regression model using minimum spanning tree method
by: Nur Faraidah, Muhammad Di, et al.
Published: (2019)

A robust modification of the Goldfeld-Quandt Test for the detection of heteroscedasticity in the presence of outliers
by: Rana, Md. Sohel, et al.
Published: (2008)

Detection of different outlier scenarios in circular regression model using single-linkage method
by: N. M. F., Di, et al.
Published: (2017)

Robust estimation of regression parameters with heteroscedastic errors in the presence of outliers (presented at the 8th WSEAS international conference on applied computer and computational science, Hangzhou China, 20-22 May 2009)
by: Midi, Habshah, et al.
Published: (2009)

Identification of multiple outliers in a generalized linear model with continuous variables
by: Loo, Yee Peng, et al.
Published: (2016)

Modified standardized Pearson residual for the identification of outliers in logistic regression model
by: Midi, Habshah, et al.
Published: (2013)

A robust rescaled moment test for normality in regression
by: Rana, Md. Sohel, et al.
Published: (2009)

Diagnostic robust generalised potentials based on GM6 to identify high leverage points in simultaneous regression model
by: Midi, Habshah, et al.
Published: (2017)

Outlier detection in logistic regression and its application in medical data analysis
by: Ahmad, Sanizah, et al.
Published: (2012)

The performance of clustering approach with robust mm-estimator for multiple outlier detection in linear regression
by: Mohd. Azmi, Nurulhuda Firdaus, et al.
Published: (2006)

Amazing journey to robust statistics, discovering outliers for efficient prediction
by: Midi, Habshah
Published: (2016)