Graphical Summaries of Circular Data with Outliers Using Python Programming Language

Graphical Summaries of Circular Data with Outliers Using Python Programming Language

Graph in statistics is used to summarise and visualise the data in pictorial form. Graphical summary enables us to visualise the data in a more simple and meaningful way so that the interpretation will be easier to understand. The graphical summaries of circular data with outliers is discussed in th...

Full description

Bibliographic Details
Main Authors:	Nur Syahirah, Zulkipli, Siti Zanariah, Satari, Wan Nur Syahidah, Wan Yusoff
Format:	Article
Language:	English
Published:	Penerbit UniMAP 2021
Subjects:	QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/33121/1/2021%20Zulkipli%20et%20al%20AMCI.pdf

Similar Items

Descriptive analysis of circular data with outliers using Python programming language
by: N. S., Zulkipli, et al.
Published: (2020)

A synthetic data generation procedure for univariate circular data with various outliers scenarios using Python programming language
by: Nur Syahirah, Zulkipli, et al.
Published: (2021)

The effect of different similarity distance measures in detecting outliers using single-linkage clustering algorithm for univariate circular biological data
by: Nur Syahirah, Zulkipli, et al.

Synthetic multivariate data generation procedure with various outlier scenarios using R programming language
by: Sharifah Sakinah, Syed Abd Mutalib, et al.
Published: (2022)

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

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

A review on outliers-detection methods for multivariate data
by: Sharifah Sakinah, Syed Abd Mutalib, et al.
Published: (2021)

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

Comparison of Robust Estimators’ Performance for Detecting Outliers in Multivariate Data
by: Sharifah Sakinah, Syed Abd Mutalib, et al.
Published: (2021)

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

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

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)

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

A new single linkage robust clustering outlier detection procedures for multivariate data
by: Sharifah Sakinah, Syed Abd Mutalib, et al.
Published: (2023)

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

Comparison of robust estimators for detecting outliers in multivariate datasets
by: Sharifah Sakinah, Syed Abd Mutalib, et al.
Published: (2021)

Review on circular-linear regression models
by: Hanin Hazwani, Mohammad, et al.
Published: (2021)

Outlier labeling via circular boxplot
by: Abuzaid, A.H., et al.
Published: (2008)

Abnormalities detection in apert syndrome using hierarchical clustering algorithms
by: Nur Syahirah, Zulkipli, et al.
Published: (2025)

An Outlier Detection Method for Circular Data Using Covratio Statistics
by: Mokhtar, Nurkhairany Amyra, 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)

Detection of outliers in simple circular regression models using the mean circular error statistic
by: Mohamed, I., et al.
Published: (2013)

A New Efficient Approximation for Concentration Parameter of Circular Data
by: Siti Zanariah, Satari, et al.
Published: (2015)

Graphical user interface for statistical characteristics of skull morphology in syndromic craniosynostosis
by: Satari, Siti Zanariah, et al.
Published: (2021)

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

Multivariate outlier detection in currency exchange rate
by: Sharif, Shamshuritawati, et al.
Published: (2013)

Cranial morphology associated with syndromic graniosynostosis: A potential detection of abnormality in patient’s cranial growth using angular statistics
by: Nur Syahirah, Zulkipli, et al.
Published: (2022)

Outlier detection in a circular regression model using COVRATIO statistic
by: Mohamed, I., et al.
Published: (2013)

A clustering approach to detect multiple outliers in linear functional relationship model for circular data
by: Mokhtar, Nurkhairany Amyra, et al.
Published: (2018)

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

Cranial morphology associated with syndromic craniosynostosis: A potential detection of abnormality in patient's cranial growth using angular statistics
by: Zulkipli, Nur Syahirah, et al.
Published: (2022)

Detection of outliers in the unreplicated linear circular functional relationship model via functional form
by: Hussin, A.G., et al.
Published: (2009)

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

The identification of outliers in wrapped normal data by using ga statistics
by: Sidik, Mohammad Illyas, et al.
Published: (2019)

Data Science Project I and Data Science Project II Presentation Day
by: Wan Nur Syahidah, Wan Yusoff
Published: (2023)

Outliers labelling with boxplot constructed based on the shape of univariate data set
by: Sim, C.H.
Published: (2008)

Tests for uncharacteristic changes in time series data and the effects of outliers on forecasts
by: Giziaki, Ernestini
Published: (1987)

Data extraction, analysis and prediction using python programming techniques
by: Chwee, Norman
Published: (2020)

Introduction to Python programming in finance
by: Tang, Jiayun
Published: (2020)