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An efficient algorithm for sequential random sampling
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Source ACM Transactions on Mathematical Software (TOMS) archive
Volume 13 ,  Issue 1  (March 1987) table of contents
Pages: 58 - 67  
Year of Publication: 1987
ISSN:0098-3500
Author
Jeffrey Scott Vitter  Brown Univ., Providence, RI
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 80,   Citation Count: 10
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ABSTRACT

We examine several methods for drawing a sequential random sample of n records from a file containing N records. Method D is recommended for general use. The algorithm is on-line (so that CPU time can be overlapped with I/O), has a small constant memory requirement, and is easy to program. An improved implementation is detailed in the Appendix.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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ERNVALL, J., AND NEVALAINEN, O. An algorithm for unbiased random sampling. Comput. J. 25, 1 (Jan. 1982) 45-47.
 
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FAN, C. T., MULLER, M. E., AND REZUCHA, I. Development of sampling plans by using sequential (item by item) selection techniques and digital computers. Am. Star. Assn. J. 57 (June 1962) 387-402.
 
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GEHRKE, H. Einfache sequentielle Stichprobenentnahme. Diplomarbeit, Universit/it Kiel, Kiel, West Germany (Aug. 1984).
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KAWARASAKI, J., AND SIBUYA, M. Random numbers for simple random sampling without replacement. Keio Math. Sere. Rep. 7 (1982) 1-9.
 
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CITED BY  10
 
 
 
 
 


REVIEW

"Theodore David Brown : Reviewer"

The author continues his work on devising efficient algorithms to sequentially sample a small set of records from a much larger set. Most of the present paper is concerned with improved implementations of the algorithms in [1]. Genera  more...

Collaborative Colleagues:
Jeffrey Scott Vitter: colleagues

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