Exponential-Ratio-Type Imputation Class of Estimators using Nonconventional Robust Measures of Dispersions
Exponential-Ratio-Type Imputation Class of Estimators using Nonconventional Robust Measures of Dispersions
Human-assisted surveys, such as medical and social science surveys, are frequently plagued by non-response or missing observations. Several authors have devised different imputation algorithms to account for missing observations during analyses. Nonetheless, several of these imputation schemes' estimators are based on known auxiliary variable parameters that can be influenced by …