Missing values treatment in agronomy dataset using PCA-Based Multiple Imputation (Bootstrap versus Bayesian)

Missing values are prevalent in agronomy datasets and need consideration to ensure the applicability of statistical methods and avoid bias in treating them. Previous studies indicate that multiple imputation is more effective than single imputation, with Principal Component Analysis (PCA)-based meth...

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Bibliographic Details

Main Authors:	Rahimah Sallehuddin, Norshahida Shaadan
Format:	Article
Language:	en
Published:	Penerbit Universiti Kebangsaan Malaysia 2025
Online Access:	http://journalarticle.ukm.my/26407/1/Paper_1%20-.pdf http://journalarticle.ukm.my/26407/ https://www.ukm.my/jqma/
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