Calibration approach estimators in stratified sampling

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

    Research output: Contribution to journalArticle

    34 Scopus citations

    Abstract

    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
    Volume77
    Issue number1
    DOIs
    StatePublished - Jan 1 2007

    Keywords

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

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