Imputation of individual values of a variable using product pbkp_redictors

Abstract:

Missing data is a common problem present in almost every data collection. It is particularly important in sample survey research. The existence of missing observations (non-response) is solved in many sample surveys using some technique of imputation. They permit replacing the missing data. Several imputation techniques have been developed in the specialized literature. The capacity of them for pbkp_redicting the mean or a total is the token for their evaluation. This paper presents an imputation rule with the main goal of pbkp_redicting individual values. An auxiliary variable X is known for all the units and a product type pbkp_redictor is developed for pbkp_redicting the value of variable of interest in each non-respondent. The unbiasedness of the pbkp_redictions is derived and the Mean Squared Errors (MSE`s). Some conclusions are pointed out.

Año de publicación:

2021

Keywords:

• Missing data
• Unbiasedness mean squared errors
• Product type pbkp_redictor
• imputation

Fuente:

scopus