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Cited by 398

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

An approximate method for generating symmetric random variables

Open access
Ramberg, John S., Schmeiser, Bruce W.·1972·Communications of the ACM
DOI 10.1145/355606.361888
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Abstract

A method for generating values of continuous symmetric random variables that is relatively fast, requires essentially no computer memory, and is easy to use is developed. The method, which uses a uniform zero-one random number source, is based on the inverse function of the lambda distribution of Tukey. Since it approximates many of the continuous theoretical distributions and empirical distributions frequently used in simulations, the method should be useful to simulation practitioners.

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Metadata

Authors
Ramberg, J. S., & Schmeiser, B. W.
Venue
Communications of the ACM
Publisher
Association for Computing Machinery (ACM)
Published
1972-11
Volume
15
Issue
11
Pages
987-990
ISSN
  • 0001-0782 (ISSN-L)
  • 1557-7317
DOI
10.1145/355606.361888
OpenAlex
W2028406055
Cited by
398
References
10
FWCI
5.29
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: An approximate method for generating symmetric random variables. https://app.cochat.ai/papers/10.1145/355606.361888
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Ramberg, J. S., & Schmeiser, B. W. (1972). An approximate method for generating symmetric random variables. Communications of the ACM. https://doi.org/10.1145/355606.361888

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.