A sequential distance-based approach for imputing missing data: Forward Imputation
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DOI: 10.1007/s11634-016-0243-0
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- Agostino Tarsitano & Marianna Falcone, 2010. "Missing-Values Adjustment For Mixed-Type Data," Working Papers 201015, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
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- Nadia SOLARO & Alessandro BARBIERO & Giancarlo MANZI & Pier Alda FERRARI, 2015. "A Comprehensive Simulation Study on the Forward Imputation," Departmental Working Papers 2015-04, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
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- Ferrari, Pier Alda & Annoni, Paola & Barbiero, Alessandro & Manzi, Giancarlo, 2011. "An imputation method for categorical variables with application to nonlinear principal component analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2410-2420, July.
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- Atieno, Prisca, 2021. "The effects of outdated data and outliers on Kenya's 2019 Global Food Security Index score and rank," Research Theses 334773, Collaborative Masters Program in Agricultural and Applied Economics.
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Keywords
Iterative PCA; Mahalanobis distance; MCAR missing data; MissForest; Nearest-neighbour imputation; Skew data;All these keywords.
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