An Improved Alternative Method of Imputation for Missing Data in Survey Sampling

Title

An Improved Alternative Method of Imputation for Missing Data in Survey Sampling

Creator

Singh G.N.; Jaiswal A.K.; Singh C.; Usman M.

Description

In the present paper, a new and improved method of ratio type imputation and corresponding point estimator to estimate the finite population mean is proposed in case of missing data problem. It has been shown that this estimator utilizes the readily available auxiliary information efficiently and gives better results than the ratio and mean methods of imputation; furthermore, its efficiency is also compared with the regression method of imputation and some other imputation methods, discussed in this article, using four real data sets. A simulation study is carried out to verify theoretical outcomes, and suitable recommendations are made. 2022 NSP Natural Sciences Publishing Cor.

Source

Journal of Statistics Applications and Probability, Vol-11, No. 2, pp. 535-543.

Date

2022-01-01

Publisher

Natural Sciences Publishing

Subject

bias; imputation; mean squared error (MSE); percent relative efficiency (PRE); Population mean

Coverage

Singh G.N., Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India; Jaiswal A.K., Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India; Singh C., Department of Statistics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Usman M., Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India

Rights

Restricted Access

Relation

ISSN: 20908423

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.18576/jsap/110214

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127098817&doi=10.18576%2fjsap%2f110214&partnerID=40&md5=ce39c25679078f273d2a8f42b798a1b5