Calibration approach estimators in stratified sampling

Jong-Min Kim, Engin A. Sungur, Tae Young Heo

    Research output: Contribution to journalArticlepeer-review

    38 Scopus citations


    Calibration is commonly used in survey sampling to include auxiliary information to increase the precision of the estimates of population parameter. In this paper, we newly propose various calibration approach ratio estimators and derive the estimator of the variance of the calibration approach ratio estimators in stratified sampling.

    Original languageEnglish (US)
    Pages (from-to)99-103
    Number of pages5
    JournalStatistics and Probability Letters
    Issue number1
    StatePublished - Jan 1 2007


    • Auxiliary information
    • Calibration approach
    • Estimation of variance
    • Ratio and regression-type estimator
    • Stratified sampling


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