MacroPCLR: A New Principal Component Regression Method Using MacroPCA that Accounts for Missing Values as Well as Rowwise and Cellwise Outliers

Additional Metadata
Keywords	Principal Component Regression; Principal Component Analysis; Missing Values; Outliers; Linear Regression; MacroPCA
Thesis Advisor	Archimbaud, A
Persistent URL	hdl.handle.net/2105/63403
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Ruiter, T.P. (2022). MacroPCLR: A New Principal Component Regression Method Using MacroPCA that Accounts for Missing Values as Well as Rowwise and Cellwise Outliers. In Econometrie.http://hdl.handle.net/2105/63403

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