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Unified ranked sampling

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  • Matthews, Michael J.
  • Wolfe, Douglas A.

Abstract

A class of ranked sample methodologies is presented, which unifies the existing methods of ranked set sampling and judgment post-stratification. This general class contains many new, promising methods and allows future ranked sampling techniques to be developed with greater scope.

Suggested Citation

  • Matthews, Michael J. & Wolfe, Douglas A., 2017. "Unified ranked sampling," Statistics & Probability Letters, Elsevier, vol. 122(C), pages 173-178.
    • Handle: RePEc:eee:stapro:v:122:y:2017:i:c:p:173-178
    DOI: 10.1016/j.spl.2016.11.015
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    References listed on IDEAS

    as
    1. Amarjot Kaur & G. Patil & C. Taillie, 2000. "Optimal Allocation for Symmetric Distributions in Ranked Set Sampling," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 52(2), pages 239-254, June.
    2. Steven N. MacEachern & Elizabeth A. Stasny & Douglas A. Wolfe, 2004. "Judgement Post-Stratification with Imprecise Rankings," Biometrics, The International Biometric Society, vol. 60(1), pages 207-215, March.
    3. Haiying Chen & Elizabeth A. Stasny & Douglas A. Wolfe, 2006. "Unbalanced Ranked Set Sampling for Estimating a Population Proportion," Biometrics, The International Biometric Society, vol. 62(1), pages 150-158, March.
    4. Xinlei Wang & Ke Wang & Johan Lim, 2012. "Isotonized CDF Estimation from Judgment Poststratification Data with Empty Strata," Biometrics, The International Biometric Society, vol. 68(1), pages 194-202, March.
    Full references (including those not matched with items on IDEAS)

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