Descriptive analysis of circular data with outliers using Python programming language

QR Code

Descriptive analysis of circular data with outliers using Python programming language

Descriptive statistics are commonly used in data analysis to describe the basic features of raw data. Descriptive summaries enable us to present the data in a more simple and meaningful way so that the interpretation will be easier to understand. The descriptive analysis of circular data with outlie...

Full description

Bibliographic Details
Main Authors:	N. S., Zulkipli, Siti Zanariah, Satari, Wan Nur Syahidah, Wan Yusoff
Format:	Article
Language:	English
Published:	Penerbit UMP 2020
Subjects:	QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/30294/ http://umpir.ump.edu.my/id/eprint/30294/7/Descriptive%20analysis%20of%20circular%20data.pdf

Similar Items

Graphical Summaries of Circular Data with Outliers Using Python Programming Language
by: Nur Syahirah, Zulkipli, et al.
Published: (2021)

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 multiple outliers detection for circular univariate data using different agglomerative clustering algorithms
by: Nur Syahirah, Zulkipli, et al.
Published: (2024)

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)

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

A review on outliers-detection methods for 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)

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

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)

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

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)

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

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

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)

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

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

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

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

Some problems of outliers in circular data / Ali H.M. Abuzaid
by: Abuzaid, Ali H.M.
Published: (2010)

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

Descriptive analysis of extra-curricular program outcome attainment: a case study of Universiti Malaysia Pahang
by: Siti Zanariah, Satari, et al.
Published: (2019)

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

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

Descriptive analysis of students’ CGPA: a case study of Universiti Malaysia Pahang
by: Roslinazairimah, Zakaria, et al.
Published: (2018)

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

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)

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

Graph coloring program of exam scheduling modeling based on bitwise coloring algorithm using python
by: Arifin, Samsul, et al.
Published: (2022)

SC and IAP Meeting for MQA/FA12425 Program Compliance Assessment Feedbacks
by: Siti Zanariah, Satari
Published: (2023)

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

Kolaborasi UMP, Abyres dalam Program 2u2i
by: Siti Zanariah, Satari
Published: (2021)

Outlier detection in cylindrical data / Nurul Hidayah Sadikon
by: Nurul Hidayah , Sadikon
Published: (2018)