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One-at-a-Time Plans
Abstract
One-at-a-time experiments are always done when the experimental system is set up to produce single results or pairs of results. When random error is small compared to main effects expected, such experiments are economical, but may give biased estimates. These biases can usually be described by two-factor interactions (2fi). Minimal augmentations of standard one-at-a-time sequences are given, first to separate main effects from 2fi, then to estimate each 2fi separately. Each new datum produces one or more new estimates.
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Citations
Cited by
Factorial Sampling Plans for Preliminary Computational Experiments
Morris, M. D. (1991) · Technometrics · doi:10.1080/00401706.1991.10484804 · Cited by 4,943
Metadata
- Authors
- Daniel, C.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1973-06
- Volume
- 68
- Issue
- 342
- Pages
- 353-360
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2042264917
- Cited by
- 224
- References
- 0
- FWCI
- 0.80
- Type
- journal article
- Language
- en
- Open access
- closed
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- Daniel, C. (1973). One-at-a-Time Plans. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1973.10482433
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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.
