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  • Empirical study in finite correlation coefficient in two phase estimation

    Author(s)
    Khoshnevisan, Mohammad
    Kaymarm, F.
    Singh, H.
    Singh, R.
    Smarandache, F.
    Griffith University Author(s)
    Khoshnevisan, Mohammad
    Year published
    2004
    Metadata
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    Abstract
    This paper proposes a class of estimators for population correlation coefficient when information about the population mean and population variance of one of the variables is not available but information about these parameters of another variable (auxiliary) is available, in two phase sampling and analyzes its properties. Optimum estimator in the class is identified with its variance formula. The estimators of the class involve unknown constants whose optimum values depend on unknown population parameters. In earlier research it has been shown that when these population parameters are replaced by their consistent estimates ...
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    This paper proposes a class of estimators for population correlation coefficient when information about the population mean and population variance of one of the variables is not available but information about these parameters of another variable (auxiliary) is available, in two phase sampling and analyzes its properties. Optimum estimator in the class is identified with its variance formula. The estimators of the class involve unknown constants whose optimum values depend on unknown population parameters. In earlier research it has been shown that when these population parameters are replaced by their consistent estimates the resulting class of estimators has the same asymptotic variance as that of optimum estimator. An empirical study is carried out to demonstrate the performance of the constructed estimators.
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    Journal Title
    International Journal of Social Economics
    Volume
    31
    Issue
    10
    Publisher URI
    https://www.emerald.com/insight/publication/issn/0306-8293/vol/31/iss/10
    DOI
    https://doi.org/10.1108/03068290410555381
    Subject
    Applied economics
    Other economics
    Publication URI
    http://hdl.handle.net/10072/27892
    Collection
    • Journal articles

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