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Multicollinearity applied stepwise stochastic imputation: a large dataset imputation through correlation-based regression

Abstract This paper presents a stochastic imputation approach for large datasets using a correlation selection methodology when preferred commercial packages struggle to iterate due to numerical problems. A variable range-based guard rail modification is proposed that benefits the convergence rate o...

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Detalles Bibliográficos
Principais autores: Benjamin D. Leiby, Darryl K. Ahner
Formato: Artigo
Idioma:Inglês
Publicado: SpringerOpen 2023-02-01
Series:Journal of Big Data
Assuntos:
Acceso en liña:https://doi.org/10.1186/s40537-023-00698-4
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