A synthetic data generation procedure for univariate circular data with various outliers scenarios using Python programming language

A synthetic data generation procedure for univariate circular data with various outliers scenarios using Python programming language

Synthetic data is artificial data that is created based on the statistical properties of the original data. The aim of this study is to generate a synthetic or simulated data for univariate circular data that follow von Mises (VM) distribution with various outliers scenario using Python programming...

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Bibliographic Details
Main Authors: Nur Syahirah, Zulkipli, Siti Zanariah, Satari, Wan Nur Syahidah, Wan Yusoff
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing Ltd 2021
Subjects:
Q Science (General)
QA Mathematics
Online Access:http://umpir.ump.edu.my/id/eprint/35201/1/A%20synthetic%20data%20generation%20procedure%20for%20univariate%20circular%20data%20with%20various%20outliers%20scenarios.pdf
http://umpir.ump.edu.my/id/eprint/35201/
https://doi.org/10.1088/1742-6596/1988/1/012111
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Institution: Universiti Malaysia Pahang
Language: English

Internet

http://umpir.ump.edu.my/id/eprint/35201/1/A%20synthetic%20data%20generation%20procedure%20for%20univariate%20circular%20data%20with%20various%20outliers%20scenarios.pdf
http://umpir.ump.edu.my/id/eprint/35201/
https://doi.org/10.1088/1742-6596/1988/1/012111

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