The DOI matches its Crossref record.
Multivariate information transmission
Abstract
A multivariate analysis based on transmitted information is presented. It is shown that sample transmitted information provides a simple method for measuring and testing association in multidimensional contingency tables. Relations with analysis of variance are pointed out, and statistical tests are described.
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Citations
Cited by
Tononi, G. (1998) · Science · doi:10.1126/science.282.5395.1846 · Cited by 1,561
Holographic mutual information is monogamous
Hayden, P., Headrick, M., & Maloney, A. (2013) · Physical Review D · doi:10.1103/physrevd.87.046003 · Cited by 326
Network Information and Connected Correlations
Schneidman, E., Still, S., Berry, M. J., & Bialek, W. (2003) · Physical Review Letters · doi:10.1103/physrevlett.91.238701 · Cited by 317
Quantifying unique information
Bertschinger, N., Rauh, J., Olbrich, E., Jost, J., & Ay, N. (2014) · Entropy · doi:10.3390/e16042161 · Cited by 253
Barrett, L., Henzi, S. P., & Lusseau, D. (2012) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2012.0113 · Cited by 183
Metadata
- Authors
- McGill, W.
- Venue
- Transactions of the IRE Professional Group on Information Theory
- Published
- 1954-09
- Volume
- 4
- Issue
- 4
- Pages
- 93-111
- ISSN
- 2168-2690 (ISSN-L)
- 2168-2704
- OpenAlex
- W2139708568
- Cited by
- 305
- References
- 0
- FWCI
- 1.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Multivariate information transmission. https://app.cochat.ai/papers/10.1109/tit.1954.1057469
- The paper
- McGill, W. (1954). Multivariate information transmission. Transactions of the IRE Professional Group on Information Theory. https://doi.org/10.1109/tit.1954.1057469
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.
