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Data Reduction and Error Analysis for the Physical Sciences
Open accessAbstract
Uncertainties in measurements probability distributions error analysis estimates of means and errors Monte Carlo techniques dependent and independent variables least-squares fit to a polynomial least-squares fit to an arbitrary function fitting composite peaks direct application of the maximum likelihood. Appendices: numerical methods matrices graphs and tables histograms and graphs computer routines in Pascal.
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Citations
Cited by
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The Major Cell Populations of the Mouse Retina
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Improved free-energy parameters for predictions of RNA duplex stability.
Freier, S. M., Kierzek, R., Jaeger, J. A., Sugimoto, N., Caruthers, M. H., Neilson, T., & Turner, D. H. (1986) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.83.24.9373 · Cited by 1,470
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Metadata
- Authors
- Bevington, P. R., Robinson, D. K., Blair, J. M., Mallinckrodt, A. J., & McKay, S.
- Venue
- Computers in Physics
- Publisher
- AIP Publishing
- Published
- 1993-07-01
- Volume
- 7
- Issue
- 4
- Pages
- 415-416
- ISSN
- 0894-1866 (ISSN-L)
- OpenAlex
- W2067722023
- Cited by
- 14,824
- References
- 0
- FWCI
- 824.57
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Data Reduction and Error Analysis for the Physical Sciences. https://app.cochat.ai/papers/10.1063/1.4823194
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- Bevington, P. R., Robinson, D. K., Blair, J. M., Mallinckrodt, A. J., & McKay, S. (1993). Data Reduction and Error Analysis for the Physical Sciences. Computers in Physics. https://doi.org/10.1063/1.4823194
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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.