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On coupon collector’s and Dixie cup problems under fixed and random sample size sampling schemes

Author

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  • James C. Fu

    (University of Manitoba)

  • Wan-Chen Lee

    (Health Canada)

Abstract

Suppose an urn contains m distinct coupons, labeled from 1 to m. A random sample of k coupons is drawn without replacement from the urn, numbers are recorded and the coupons are then returned to the urn. This procedure is done repeatedly and the sample sizes are independently identically distributed. Let W be the total number of random samples needed to see all coupons at least l times $$(l \ge 1)$$ ( l ≥ 1 ) . Recently, for $$l=1$$ l = 1 , the approximation for the first moment of the random variable W has been studied under random sample size sampling scheme by Sellke (Ann Appl Probab, 5:294–309, 1995). In this manuscript, we focus on studying the exact distributions of waiting times W for both fixed and random sample size sampling schemes given $$l \ge 1$$ l ≥ 1 . The results are further extended to a combination of fixed and random sample size sampling procedures.

Suggested Citation

  • James C. Fu & Wan-Chen Lee, 2017. "On coupon collector’s and Dixie cup problems under fixed and random sample size sampling schemes," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 69(5), pages 1129-1139, October.
  • Handle: RePEc:spr:aistmt:v:69:y:2017:i:5:d:10.1007_s10463-016-0578-5
    DOI: 10.1007/s10463-016-0578-5
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    References listed on IDEAS

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    1. Brad C. Johnson & Thomas M. Sellke, 2010. "On the Number of i.i.d. Samples Required to Observe All of the Balls in an Urn," Methodology and Computing in Applied Probability, Springer, vol. 12(1), pages 139-154, March.
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    Cited by:

    1. Kiyoshi Inoue, 2021. "On Homogeneous Multivariate Distributions in Random Occupancy Models and Their Applications," Methodology and Computing in Applied Probability, Springer, vol. 23(3), pages 1129-1153, September.

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