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Prediction intervals for hypergeometric distributions

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  • Kalimuthu Krishnamoorthy
  • Shanshan Lv

Abstract

The problem of constructing prediction intervals (PIs) for a future sample from a hypergeometric distribution is addressed. Simple closed-form approximate PIs based on the Wald approach, the joint sampling approach, and a fiducial approach are proposed and compared in terms of coverage probability and precision. Construction of the proposed PIs are illustrated using an example.

Suggested Citation

  • Kalimuthu Krishnamoorthy & Shanshan Lv, 2020. "Prediction intervals for hypergeometric distributions," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 49(6), pages 1528-1536, March.
    • Handle: RePEc:taf:lstaxx:v:49:y:2020:i:6:p:1528-1536
    DOI: 10.1080/03610926.2018.1563181
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    Cited by:

    1. Xing Chen & Eunmi Jang, 2022. "A Sustainable Supply Chain Network Model Considering Carbon Neutrality and Personalization," Sustainability, MDPI, vol. 14(8), pages 1-23, April.

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