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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
    Date Deposited: 09 Feb 2017 13:28
    Last Modified: 22 Jun 2017 13:56
    URI: http://repository.usp.ac.fj/id/eprint/9589
    UNSPECIFIED

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