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Generalized class of synthetic estimators for small areas under systematic sampling scheme

Author

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  • PANDEY, KRISHAN
  • Tikkiwal, G.C.

Abstract

This paper defines and discusses a generalized class of synthetic estimators for small domain, using auxiliary information, under systematic sampling scheme. The generalized class of synthetic estimators, among others, includes the simple, ratio and product synthetic estimators. Further, it demonstrates the use of the generalized synthetic and ratio synthetic estimators for estimating crop acreage for small domain and also compares their relative performance with direct estimators, empirically, through a simulation study.

Suggested Citation

  • PANDEY, KRISHAN & Tikkiwal, G.C., 2010. "Generalized class of synthetic estimators for small areas under systematic sampling scheme," MPRA Paper 37161, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:37161
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    File URL: https://mpra.ub.uni-muenchen.de/37161/1/MPRA_paper_37161.pdf
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    References listed on IDEAS

    as
    1. Pandey, Krishan & Tikkiwal, G.C., 2006. "Synthetic and composite estimators for small area estimation under Lahiri – Midzuno sampling scheme," MPRA Paper 22783, University Library of Munich, Germany.
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    Cited by:

    1. K. K. Pandey & P. K. Rai, 2013. "Synthetic estimators using auxiliary information in small domains," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 14(1), pages 31-44, March.

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    More about this item

    Keywords

    Synthetic Estimation; Small Domain; Inspector Land Revenue Circles (ILRCs); Timely Reporting Scheme (TRS); Absolute Relative Bias (ARB); Simulated relative standard error (Srse);
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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