Synthetic multivariate data generation procedure with various outlier scenarios using R programming language

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Synthetic multivariate data generation procedure with various outlier scenarios using R programming language

A synthetic data generation procedure is a procedure to generate data from either a statistical or mathematical model. The data generation procedure has been used in simulation studies to compare statistical performance methods or propose a new statistical method with a specific distribution. A synt...

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Bibliographic Details
Main Authors:	Sharifah Sakinah, Syed Abd Mutalib, Siti Zanariah, Satari, Wan Nur Syahidah, Wan Yusoff
Format:	Article
Language:	English
Published:	Penerbit Universiti Teknologi Malaysia 2022
Subjects:	QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/33887/ http://umpir.ump.edu.my/id/eprint/33887/1/2022%20Mutalib%20et%20al%20jurnal%20teknologi.pdf

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