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Information Journal Paper

Title

CALIBRATION WEIGHTING TO COMPENSATE FOR EXTREME VALUES, NON-RESPONSE AND NON-COVERAGE IN LABOR FORCE SURVEY

Pages

  1-14

Abstract

 Frame imperfection, NON-RESPONSE and unequal selection probabilities always affect survey results. In order to compensate for the effects of these problems, Devill and Särndal (1992) introduced a family of estimators called calibration estimators. In these estimators we look for weights that have minimum distance with DESIGN WEIGHTs based on a distance function and satisfy calibration equations.In this paper after introducing generalized regression estimator, we explain general form of calibration estimators. Then special cases of calibration estimators due to using different distance functions, practical aspects and results of comparing the methods are considered.

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    APA: Copy

    BIDAR BAKHTNIA, A., & NAVABPOUR, H.R.. (2007). CALIBRATION WEIGHTING TO COMPENSATE FOR EXTREME VALUES, NON-RESPONSE AND NON-COVERAGE IN LABOR FORCE SURVEY. JOURNAL OF STATISTICAL RESEARCH OF IRAN (JSRI), 4(1), 1-14. SID. https://sid.ir/paper/129926/en

    Vancouver: Copy

    BIDAR BAKHTNIA A., NAVABPOUR H.R.. CALIBRATION WEIGHTING TO COMPENSATE FOR EXTREME VALUES, NON-RESPONSE AND NON-COVERAGE IN LABOR FORCE SURVEY. JOURNAL OF STATISTICAL RESEARCH OF IRAN (JSRI)[Internet]. 2007;4(1):1-14. Available from: https://sid.ir/paper/129926/en

    IEEE: Copy

    A. BIDAR BAKHTNIA, and H.R. NAVABPOUR, “CALIBRATION WEIGHTING TO COMPENSATE FOR EXTREME VALUES, NON-RESPONSE AND NON-COVERAGE IN LABOR FORCE SURVEY,” JOURNAL OF STATISTICAL RESEARCH OF IRAN (JSRI), vol. 4, no. 1, pp. 1–14, 2007, [Online]. Available: https://sid.ir/paper/129926/en

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