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A Convenient Algorithm for Drawing a Simple Random Sample

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  • A. I. McLeod
  • D. R. Bellhouse

Abstract

A convenient one‐pass algorithm for drawing a simple random sample without replacement of size n from a population of N members, when N is initially unknown, is presented. Moreover, even when N is known, this algorithm appears to be more efficient than previously suggested algorithms when the entire population is stored in the fast memory of the computer. Applications to sampling from a computer file and to linear programming are briefly indicated.

Suggested Citation

  • A. I. McLeod & D. R. Bellhouse, 1983. "A Convenient Algorithm for Drawing a Simple Random Sample," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 32(2), pages 182-184, June.
    • Handle: RePEc:bla:jorssc:v:32:y:1983:i:2:p:182-184
    DOI: 10.2307/2347297
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    Cited by:

    1. J. N. K. Rao, 2021. "On Making Valid Inferences by Integrating Data from Surveys and Other Sources," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(1), pages 242-272, May.
    2. Eduardo Ley & Mark F.J. Steel, 2009. "On the effect of prior assumptions in Bayesian model averaging with applications to growth regression This article was published online on 30 March 2009. An error was subsequently identified. This not," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 651-674.
    3. Ley, Eduardo & Steel, Mark F. J., 2007. "On the effect of prior assumptions in Bayesian model averaging with applications to growth regression," Policy Research Working Paper Series 4238, The World Bank.
    4. Park, Byung-Hoon & Ostrouchov, George & Samatova, Nagiza F., 2007. "Sampling streaming data with replacement," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 750-762, October.
    5. Hajin Kim & Myeong-Seon Gil & Yang-Sae Moon & Mi-Jung Choi, 2018. "Variable size sampling to support high uniformity confidence in sensor data streams," International Journal of Distributed Sensor Networks, , vol. 14(4), pages 15501477187, April.

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