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A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
Abstract
Two types of sampling plans are examined as alternatives to simple random sampling in Monte Carlo studies. These plans are shown to be improvements over simple random sampling with respect to variance for a class of estimators which includes the sample mean and the empirical distribution function.
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Citations
Cited by
Efficient Global Optimization of Expensive Black-Box Functions
Jones, D. R., Schonlau, M., & Welch, W. J. (1998) · Journal of Global Optimization · doi:10.1023/a:1008306431147 · Cited by 8,070
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Bayesian calibration of computer models
Kennedy, M. C., & O'Hagan, A. (2001) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00294 · Cited by 4,222
A methodology for performing global uncertainty and sensitivity analysis in systems biology
Marino, S., Hogue, I. B., Ray, C. J., & Kirschner, D. E. (2008) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2008.04.011 · Cited by 2,999
Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period
Kissler, S. M., Tedijanto, C., Goldstein, E., Grad, Y. H., & Lipsitch, M. (2020) · Science · doi:10.1126/science.abb5793 · Cited by 2,611
Metadata
- Authors
- McKay, M. D., Beckman, R. J., & Conover, W. J.
- Venue
- Technometrics
- Publisher
- Taylor & Francis
- Published
- 2000-02-01
- Volume
- 42
- Issue
- 1
- Pages
- 55-55
- ISSN
- 0040-1706 (ISSN-L)
- OpenAlex
- W2038669746
- Cited by
- 7,415
- References
- 0
- FWCI
- 177.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code. https://app.cochat.ai/papers/10.2307/1271432
- The paper
- McKay, M. D., Beckman, R. J., & Conover, W. J. (2000). A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code. Technometrics. https://doi.org/10.2307/1271432
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
