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
Published in:	Journal of physics. Conference series Vol. 1988; no. 1; pp. 12111 - 12119
Main Authors:	Zulkipli, N S, Satari, S Z, Wan Yusoff, W N S
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.07.2021
Subjects:	Data analysis Datasets Inliers (landforms) Outliers (statistics) Programming languages Python Synthetic data
ISSN:	1742-6588, 1742-6596
Online Access:	Get full text
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