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 pbkp_redicted by the researcher. The missing values of the variable of interest are pbkp_redicted using the model. The behavior of the proposed pbkp_redictor 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