Outlier detection in multiple circular regression model using DFFITC statistic

Outlier detection in multiple circular regression model using DFFITC statistic

This paper presents the identification of outliers in multiple circular regression model (MCRM), where the model studies the relationship between two or more circular variables. To date, most of the published papers concentrating on detecting outliers in circular samples and simple circular regressi...

Full description

Bibliographic Details
Main Authors:	Najla Ahmed Alkasadi, Safwati Ibrahim, Abuzaid, Ali H.M., Mohd Irwan Yusoff, Hashibah Hamid, Leow, Wai Zhe, Amelia Abd Razak
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2019
Online Access:	http://journalarticle.ukm.my/13750/ http://journalarticle.ukm.my/13750/ http://journalarticle.ukm.my/13750/1/25%20Najla%20Ahmed%20Alkasadi.pdf

Similar Items

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

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

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

Detection of outliers in the complex linear regression model
by: Hussin, A.G., et al.
Published: (2013)

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

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

Parameter estimation and outlier detection for some types of circular model
by: Siti Zanariah, Satari
Published: (2015)

Eigenstructure-based angle for detecting outliers in multivariate data
by: Nazrina Aziz,
Published: (2014)

Improvement on the innovational outlier detection procedure in a bilinear model
by: Mohamed .I.B,, et al.
Published: (2011)

A new robust estimator to detect outliers for multivariate data
by: Sharifah Sakinah, Syed Abd Mutalib, et al.
Published: (2019)

Outlier detection in 2 × 2 crossover design using Bayesian framework
by: Lim, F.P., et al.
Published: (2019)

Utilising multiple linear regression (mlr) technique in multivariate statistical process monitoring (mspm) system
by: Mohd Farid, Mohd Na’aim
Published: (2014)

JMASM 46: Algorithm for comparison of robust regression methods in multiple linear regression by weighting least Square Regression
by: Mohd Ibrahim, Mohamad Shafiq, et al.
Published: (2017)

Comparison between fuzzy bootstrap weighted multiple linear regression and multiple linear regression: a case study for oral cancer modelling
by: Mohd Ibrahim, Mohamad Shafiq, et al.
Published: (2018)

Source Apportionment and Quality Assessment of Surface Water Using Principal Component Analysis and Multiple Linear Regression statistics
by: Nasly, Mohamed Ali, et al.
Published: (2013)

On-line detection method for outliers of dynamic instability measurement data in geological exploration control process
by: Liu, Fang, et al.
Published: (2017)

Detection of influential observations in principle component regression
by: Mokhtar Abdullah,
Published: (1996)

Antecedents and Impacts of Service Operations Flexibility: A Multiple Regression Approach
by: Mohd. Rashid, Ab. Hamid, et al.
Published: (2014)

High breakdown estimator for dual response optimization in the presence of outliers
by: Habshah Midi,, et al.
Published: (2019)

Factors determine Islamic banking performance in Malaysia: a multiple regression approach
by: Abduh, Muhamad, et al.
Published: (2014)

JMASM39: Algorithm for combining robust and bootstrap in multiple linear model regression
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2016)

Decision to cast a vote: an ordinal regression statistical analysis
by: Lubis, Muharman, et al.
Published: (2014)

A lower complexity k best algorithm for multiple input and multiple output detection
by: Jabir, Amjad N., et al.
Published: (2011)

Utilizing multiple linear regression technique for interential measure of continuous-based process monitoring
by: Muhammad Ridzuan, Mamat
Published: (2013)

Multiple human body postures detection using kinect
by: Rosdiyana, Samad, et al.
Published: (2018)

The effect of piezoelectric actuation on stress distribution in aluminum plate with circular hole
by: Abuzaid, Ahmed, et al.
Published: (2015)

Diurnal fluctuations of ozone concentrations and its precursors and prediction of ozone using multiple linear regressions
by: Nor Azam Ramli,, et al.
Published: (2010)

Load forecasting using combination model of multiple linear regression with neural network for Malaysian city
by: Nur Arina Bazilah Kamisan,, et al.
Published: (2018)

Multiple linear regression model analysis in predicting fasting blood glucose level in healthy subjects
by: Aishah, A. F. Q. A., et al.
Published: (2019)

Factors influencing assessment practices among University academic staff: a multiple regression analysis
by: Matovu, Musa, et al.
Published: (2014)

A predictive model for the population growth of refugees in Asia: a multiple linear regression approach
by: Sulaiman, Suriani, et al.
Published: (2019)

Youtube spam detection framework using naïve bayes and logistic regression
by: Nur’Ain Maulat, Samsudin, et al.
Published: (2019)

Consolidated backpropagation neural network for Malaysian construction costs indices data with outliers problem
by: Ahmad Kamaruddin, Saadi, et al.
Published: (2018)

Multiple regression analysis to estimate height fromdynamic footprint anthropometry in Malaysia Indian sub-ethnic group
by: T. Nataraja Moorthy,, et al.
Published: (2016)

Equation modeling of Sembulan River , Sabah , as a case study using backward stepwise multiple linear regression
by: Rita Sundari,, et al.
Published: (2006)

Modelling of surface air temperature elements: integration of multiple regression model and spatial interpolation technique / Fariza Yunus
by: Yunus, Fariza
Published: (2014)

Modelling of surface air temperature elements : integration of multiple regression model and spatial interpolation technique / Fariza Yunus
by: Yunus, Fariza
Published: (2014)

Statistical analysis of vehicle theft crime in Peninsular Malaysia using negative binomial regression model
by: Malina Zulkifli,, et al.
Published: (2015)

Water in Circular Economy and Resilience
by: Delgado, Anna, et al.
Published: (2021)

Traffic intensity monitoring using multiple object detection with traffic surveillance cameras
by: Hasan Gani, Muhammad Hamdan, et al.
Published: (2017)

Cannot write session to /tmp/vufind_sessions/sess_6jphn8naqaa7eo3dn7nalo8a8q