Filling the gap in food and nutrition security data: What imputation method is best for Africa's food and nutrition security?

Our study presents the methods adopted to produce accurate imputed values for Africa's food security and nutrition (FSN). We focused primarily on the following five imputation methods for handling missing data: Mean Imputation; Multiple Imputed values using a Chained Equation (MICE); imputation bas...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Adusei Bofa, Temesgen Zewotir
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Lietuvos statistikų sąjunga, Lietuvos statistikos departamentas 2022-12-01
Schriftenreihe:	Lithuanian Journal of Statistics
Schlagworte:	food security and nutrition missForest missing value multiple imputations Missing at Random (MAR) Missing Not at Random (MNAR)
Online-Zugang:	https://www.zurnalai.vu.lt/statisticsjournal/article/view/31573
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