Hybrid of calibration and imputation: estimation of mean in survey sampling

Sarjinder Singh; Stephen Horn; Derric Shannon Tracy

doi:10.6092/issn.1973-2201/1164

Hybrid of calibration and imputation: estimation of mean in survey sampling

Authors

Sarjinder Singh University of Southern Maine
Department of Mathematics and Statistics
Stephen Horn The Australian Bureau of Statitìstics
Methodology Division
Derric Shannon Tracy University of Windsor, Ontario
Department of Mathematics and Statistics

DOI:

https://doi.org/10.6092/issn.1973-2201/1164

Abstract

In the present investigation, a hybrid of calibration and imputation has been considered in the presence of a random non-response in survey sampling. Estimators of population mean associated with the proposed hybrid remain unbiased under design based approach. A simulation study is carried out to show the performance of the proposed methods compared to the ratio method of imputation.

How to Cite

Singh, S., Horn, S., & Tracy, D. S. (2001). Hybrid of calibration and imputation: estimation of mean in survey sampling. Statistica, 61(1), 27–41. https://doi.org/10.6092/issn.1973-2201/1164