The DOI matches its Crossref record.
Maximum-Entropy Models in Science and Engineering.
Abstract
Partial table of contents: Maximum--Entropy Probability Distributions: Principles, Formalism and Techniques. Maximum--Entropy Discrete Univariate Probability Distributions. Maximum--Entropy Discrete Multivariate Probability Distributions. Maximum--Entropy Continuous Multivariate Probability Distributions. Maximum--Entropy Distributions in Statistical Mechanics. Minimum Discrepancy Measures. Concavity (Convexity) of Maximum--Entropy (Minimum Information) Functions. Equivalence of Maximum--Entropy Principle and Gauss's Principle of Density Estimation. Maximum--Entropy Principle and Contingency Tables. Maximum--Entropy Principle and Statistics. Maximum--Entropy Models in Regional and Urban Planning. Maximum--Entropy Models in Marketing and Elections. Maximum--Entropy Spectral Analysis. Maximum--Entropy Image Reconstruction. Maximum--Entropy Principle in Operations Research. References. Author Index. Subject Index.
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Citations
Cited by
Construction of polygonal interpolants: a maximum entropy approach
Sukumar, N. (2004) · International Journal for Numerical Methods in Engineering · doi:10.1002/nme.1193 · Cited by 274
Euclidean distance between syntactically linked words
Ferrer i Cancho, R. (2004) · Physical Review E · doi:10.1103/physreve.70.056135 · Cited by 212
Lam, K. C., Yu, C. Y., & Lam, K. Y. (2008) · Journal of Property Research · doi:10.1080/09599910902837051 · Cited by 68
Metadata
- Authors
- Kapur, J. N.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1992-03
- Volume
- 48
- Issue
- 1
- Pages
- 333
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W2034921015
- Cited by
- 793
- References
- 0
- FWCI
- 9.58
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kapur, J. N. (1992). Maximum-Entropy Models in Science and Engineering. Biometrics. https://doi.org/10.2307/2532770
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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.
