New calibration estimators in stratified sampling

Rao, Dinesh K. and Tekabu, Tokaua and Khan, Mohammad G.M. (2016) New calibration estimators in stratified sampling. [Conference Proceedings]

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Abstract

Calibration approach is widely used survey sampling
that incorporates auxiliary information to increase the precision
of survey estimates. In this manuscript, we propose two new
calibration estimators of population mean in stratified sampling,
using the known auxiliary information on mean and coefficient of
variation in each stratum. A numerical example is presented to
illustrate the application and computational details of the
proposed calibration estimators. Moreover, a simulation study is
carried out to compare the performance of the proposed
calibration estimators.

Item Type:	Conference Proceedings
Subjects:	Q Science > QA Mathematics
Divisions:	Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences
Depositing User:	Fulori Nainoca - Waqairagata
Date Deposited:	09 Feb 2017 01:28
Last Modified:	22 Jun 2017 01:56
URI:	https://repository.usp.ac.fj/id/eprint/9589

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