Estimation of population variance in successive sampling

Housila P. Singh, Ritesh Tailor, Sarjinder Singh, Jong-Min Kim

    Research output: Contribution to journalArticlepeer-review

    21 Scopus citations

    Abstract

    This paper proposes a class of estimators of finite population variance in successive sampling on two occasions and analyzes its properties. Isaki (J Am Stat Assoc 78:117-123, 1983) motivated to consider the problem of estimation of finite population variance in survey sampling, and its extension to the case of successive sampling is much interesting, and the theory developed here will be helpful to those involved in such analysis in future. To our knowledge this is the first attempt made by the authors in this direction. An empirical study based on real populations and moderate sample sizes demonstrates the usefulness of the proposed methodology. In addition, this paper also presents a through review on successive sampling.

    Original languageEnglish (US)
    Pages (from-to)477-494
    Number of pages18
    JournalQuality and Quantity
    Volume45
    Issue number3
    DOIs
    StatePublished - Apr 1 2011

    Keywords

    • Bias and Mean Square Error
    • Class of estimators
    • Successive sampling

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