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Prior value incorporated calibration estimator in stratified random sampling

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  • Ohyama, Tetsuji

Abstract

In this paper, we discuss the calibration estimator for estimating population characteristics that uses prior values and an auxiliary variable. We assume an infinite population and unknown underlying distribution for the objective variable. Simulation studies are conducted to investigate the efficiency of the proposed estimator. Finally a numerical example is presented.

Suggested Citation

  • Ohyama, Tetsuji, 2013. "Prior value incorporated calibration estimator in stratified random sampling," Statistics & Probability Letters, Elsevier, vol. 83(1), pages 46-51.
  • Handle: RePEc:eee:stapro:v:83:y:2013:i:1:p:46-51 DOI: 10.1016/j.spl.2012.08.023
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    References listed on IDEAS

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    1. Kim, Jong-Min & Sungur, Engin A. & Heo, Tae-Young, 2007. "Calibration approach estimators in stratified sampling," Statistics & Probability Letters, Elsevier, vol. 77(1), pages 99-103, January.
    2. Sarjinder Singh, 2012. "On the calibration of design weights using a displacement function," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(1), pages 85-107, January.
    3. Stearns, Matthew & Singh, Sarjinder, 2008. "On the estimation of the general parameter," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4253-4271, May.
    4. Takashi Yanagawa, 1975. "Stratified random sampling; gain in precision due to stratification in the case of proportional allocation," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 27(1), pages 33-44, December.
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