The DOI matches its Crossref record.
Information and Exponential Families in Statistical Theory
Abstract
(1980). Information and Exponential Families in Statistical Theory. Technometrics: Vol. 22, No. 2, pp. 280-280.
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Citations
Cited by
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Gelfand, A. E., & Sahu, S. K. (1999) · Journal of the American Statistical Association · doi:10.1080/01621459.1999.10473840 · Cited by 242
Towards a neuronal gauge theory
Sengupta, B., Tozzi, A., Cooray, G. K., Douglas, P. K., & Friston, K. J. (2016) · PLOS Biology · doi:10.1371/journal.pbio.1002400 · Cited by 132
Hybrids of gibbs point process models and their implementation
Baddeley, A., Turner, R., Mateu, J., & Bevan, A. (2013) · Journal of Statistical Software · doi:10.18637/jss.v055.i11 · Cited by 52
Metadata
- Authors
- Mathai, A. M.
- Venue
- Technometrics
- Publisher
- Informa UK Limited
- Published
- 1980-05
- Volume
- 22
- Issue
- 2
- Pages
- 280-280
- ISSN
- 0040-1706 (ISSN-L)
- 1537-2723
- OpenAlex
- W2149607218
- Cited by
- 498
- References
- 0
- FWCI
- 11.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Information and Exponential Families in Statistical Theory. https://app.cochat.ai/papers/10.1080/00401706.1980.10486149
- The paper
- Mathai, A. M. (1980). Information and Exponential Families in Statistical Theory. Technometrics. https://doi.org/10.1080/00401706.1980.10486149
Data sources
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.
