Studying the total under missingness by guessing the value of a superpopulation model for imputation

Abstract:

We propose to use a superpopulation simple regression model. The regression coefficient is predicted by the researcher. The missing values of the variable of interest are predicted using the model. The behavior of the proposed predictor is evaluated by determining its the design expectations of the model bias and variance. A numerical study is developed using real life data.

Año de publicación:

2020

Keywords:

• pbkp_redictor
• Superpopulation
• imputation
• Body Index Mass
• Missing data
• Assertiveness. Covid19

Fuente:

scopus