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A note on optimum allocation in multivariate stratified sampling

Khan, Mohammad G.M. and Ahsan, M.J. (2003) A note on optimum allocation in multivariate stratified sampling. The South Pacific Journal of Natural Sciences, 21 . pp. 91-95. ISSN 1013-9877

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    Abstract

    In stratified random sampling when several characteristics are to be estimated simultaneously, an allocation that is optimum for one characteristic may be far away from optimum for others. To resolve this conflict the authors formulate the problem of determining optimum compromise allocation as a nonlinear programming problem (NLPP). The allocation obtained is optimum in the sense that it minimizes the sum of weighted variances of the estimated population means of the characteristics subject to a fixed sampling cost. The formulated NLPP is treated as multistage decision problem and solved using dynamic programming technique. A numerical example is presented to illustrate the computational details.

    Item Type: Journal Article
    Subjects: Q Science > QA Mathematics
    Divisions: Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences
    Depositing User: Ms Mereoni Camailakeba
    Date Deposited: 23 Apr 2003 20:11
    Last Modified: 16 Mar 2017 10:12
    URI: http://repository.usp.ac.fj/id/eprint/2780
    UNSPECIFIED

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