values. In summary, most individual classifiers are more robust to missing data when GANs are used as an imputation technique …

country especially for a developing country like Thailand and for other Asian countries. Unfortunately, missing data or non …-response plays an essential role in many areas of studies including finance and economics. Eradication of missing data in a proper … generalized regression estimators for population total can be applied to financial, economic and other data when missing data are …

In this paper we deal with parametric estimation of the copula in the case of missing data. The data items with the … same pattern of complete and missing data are combined into a subset. This approach corresponds to the MCAR model for … missing data. We construct a specific Cramér–von Mises statistic as a sum of such statistics for the several missing data …

country especially for a developing country like Thailand and for other Asian countries. Unfortunately, missing data or non …-response plays an essential role in many areas of studies including finance and economics. Eradication of missing data in a proper … generalized regression estimators for population total can be applied to financial, economic and other data when missing data are …

When faced with missing data in a statistical survey or administrative sources, imputation is frequently used in order … matching and the propensity score method. The second study presented in the paper involved a simulation of missing data using …