Imputation of missing values by using raw moments

• Authors: Muhammed Umair Sohail , Javid Shabbir , Fariha Sohil

Abstracts

EN

The estimation of population parameters might be quite laborious and inefficient, when the sample data have missing values. In comparison follow-up visits, the method of imputation has been found to be a cheaper procedure from a cost point of view. In the present study, we can enhance the performance of imputation procedures by utilizing the raw moments of the auxiliary information rather than their ranks, especially, when the ranking of the auxiliary variable is expensive or difficult to do so. Equations for bias and mean squared error are obtained by large sample approximation. Through the numerical and simulation studies it can be easily understood that the proposed method of imputation can outperform their counterparts.

Keywords

EN

non-response; imputation; raw moments; relative efficiency

• Publisher: Główny Urząd Statystyczny
• Journal: Statistics in Transition new series
• Year: 2019
• Volume: 20
• Issue: 1
• Pages: 21-40

Contributors

author

Muhammed Umair Sohail

• Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan

• https://orcid.org/000000025440126X

author

Javid Shabbir

• Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan

author

Fariha Sohil

• Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan
• Department of Education, Government College University, Faisalabad, Pakistan

Identifiers

DOI

10.21307/stattrans-2019-002

Biblioteka Nauki

1359290