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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Vydané v:	Journal of physics. Conference series Ročník 1988; číslo 1; s. 12111 - 12119
Hlavní autori:	Zulkipli, N S, Satari, S Z, Wan Yusoff, W N S
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bristol IOP Publishing 01.07.2021
Predmet:	Data analysis Datasets Inliers (landforms) Outliers (statistics) Programming languages Python Synthetic data
ISSN:	1742-6588, 1742-6596
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