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

• 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/33887/1/2022%20Mutalib%20et%20al%20jurnal%20teknologi.pdf; http://umpir.ump.edu.my/id/eprint/33887/; https://doi.org/10.11113/jurnalteknologi.v84.17900; https://doi.org/10.11113/jurnalteknologi.v84.17900
• Institution: Universiti Malaysia Pahang

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...