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SAMPLING THEORY OF THE NEGATIVE BINOMIAL AND LOGARITHMIC SERIES DISTRIBUTIONS
Abstract
F. J. ANSCOMBE; SAMPLING THEORY OF THE NEGATIVE BINOMIAL AND LOGARITHMIC SERIES DISTRIBUTIONS, Biometrika, Volume 37, Issue 3-4, 1 December 1950, Pages 358–382,
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Citations
Cited by
Superspreading and the effect of individual variation on disease emergence
Lloyd-Smith, J. O., Schreiber, S. J., Kopp, P. E., & Getz, W. M. (2005) · Nature · doi:10.1038/nature04153 · Cited by 2,514
A STOCHASTIC MODEL OF STEM CELL PROLIFERATION, BASED ON THE GROWTH OF SPLEEN COLONY-FORMING CELLS
Till, J. E., McCulloch, E. A., & Siminovitch, L. (1964) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.51.1.29 · Cited by 890
Nei, M., Xu, P., & Glazko, G. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.051611498 · Cited by 329
Review of Statistical Aspects of Survey Sampling for Marine Fisheries
Kimura, D. K., & Somerton, D. A. (2006) · Reviews in Fisheries Science · doi:10.1080/10641260600621761 · Cited by 101
Barnes, H., & Marshall, S. M. (1951) · Journal of the Marine Biological Association of the United Kingdom · doi:10.1017/s002531540001273x · Cited by 81
Metadata
- Authors
- ANSCOMBE, F. J.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 1950-12-01
- Volume
- 37
- Issue
- 3-4
- Pages
- 358-382
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W2153478504
- Cited by
- 366
- References
- 0
- FWCI
- 4.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: SAMPLING THEORY OF THE NEGATIVE BINOMIAL AND LOGARITHMIC SERIES DISTRIBUTIONS. https://app.cochat.ai/papers/10.1093/biomet/37.3-4.358
- The paper
- ANSCOMBE, F. J. (1950). SAMPLING THEORY OF THE NEGATIVE BINOMIAL AND LOGARITHMIC SERIES DISTRIBUTIONS. Biometrika. https://doi.org/10.1093/biomet/37.3-4.358
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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.
