Dealing with the biased effects issue when handling huge datasets: the case of INVALSI data

DOI10.1080/02664763.2015.1043867OpenAlexW1532559913MaRDI QIDQ5130370

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Publication date: 4 November 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2015.1043867

zbMATH Keywords

subsamplingmultilevel modelingvariable selection criterionhuge datasetssignificance effects

Mathematics Subject Classification ID

Statistics (62-XX)

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Uses Software

• R

Cites Work

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• A Testing Procedure for Determining the Number of Factors in Approximate Factor Models With Large Datasets

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