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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Main Authors: | Nur Syahirah, Zulkipli, Siti Zanariah, Satari, Wan Nur Syahidah, Wan Yusoff |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
IOP Publishing Ltd
2021
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Subjects: | |
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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