Regression type estimators for random non-response in survey sampling

Sarjinder Singh; Anvar H. Joarder; Derric Shannon Tracy

doi:10.6092/issn.1973-2201/1118

Regression type estimators for random non-response in survey sampling

Authors

Sarjinder Singh University of Southern Maine
Department of Mathematics and Statistics
Anvar H. Joarder King Fahd University of Petroleum and Minerals, Dhahran
Department of Mathematical Sciences
Derric Shannon Tracy University of Windsor, Ontario
Department of Mathematics and Statistics

DOI:

https://doi.org/10.6092/issn.1973-2201/1118

Abstract

In this paper, three regression type estimators are suggested for the estimation of finite population mean in two situations of random non-response considered by Tracy and Osahan (1994). The results are obtained under the assumption that the number of sampling units on wich information could not be obtained due to random non-response follows some distribution. Some suggestions are given for estimation of the mean square error of the estimators proposed.

How to Cite

Singh, S., Joarder, A. H., & Tracy, D. S. (2000). Regression type estimators for random non-response in survey sampling. Statistica, 60(1), 39–44. https://doi.org/10.6092/issn.1973-2201/1118