Veloz, AlejandroAlejandroVelozSérgio CamposHéctor Allende2025-08-252025-08-252019-01-0110.1007/978-3-030-13469-3_23https://cris-uv.scimago.es/handle/123456789/5659Finding real-world applications whose records contain missing values is not uncommon. As many data analysis algorithms are not designed to work with missing data, a frequent approach is to remove all variables associated with such records from the analysis. A much better alternative is to employ data imputation techniques to estimate the missing values using statistical relationships among the variables.enacceso restringidoImputation (statistics)RobustnessData setSample (material)conference paper