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Multivariate Models and Multivariate Dependence Concepts
Abstract
This book on multivariate models, statistical inference, and data analysis contains deep coverage of multivariate non-normal distributions for modeling of binary, count, ordinal, and extreme value response data. It is virtually self-contained, and includes many exercises and unsolved problems.
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Citations
Cited by
Margolin, A. A., Nemenman, I., Basso, K., Wiggins, C., Stolovitzky, G., Favera, R. D., & Califano, A. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-s1-s7 · Cited by 2,420
MODELLING ASYMMETRIC EXCHANGE RATE DEPENDENCE*
Patton, A. J. (2006) · International Economic Review · doi:10.1111/j.1468-2354.2006.00387.x · Cited by 2,112
Understanding Relationships Using Copulas
Frees, E. W., & Valdez, E. A. (1998) · North American Actuarial Journal · doi:10.1080/10920277.1998.10595667 · Cited by 1,257
Using Copulas for Modeling Stochastic Dependence in Power System Uncertainty Analysis
Papaefthymiou, G., & Kurowicka, D. (2009) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2008.2004728 · Cited by 459
Joint regression analysis of correlated data using Gaussian copulas
Song, P. X. ‐., Li, M., & Yuan, Y. (2009) · Biometrics · doi:10.1111/j.1541-0420.2008.01058.x · Cited by 201
Metadata
- Authors
- Joe, H.
- Venue
- C&H/CRC Monographs on Statistics & Applied Probability
- Publisher
- Chapman and Hall/CRC
- Published
- 1997-05
- ISSN
- 2154-3038 (ISSN-L)
- OpenAlex
- W2507039649
- Cited by
- 2,849
- References
- 0
- FWCI
- 2.14
- Type
- book
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Multivariate Models and Multivariate Dependence Concepts. https://app.cochat.ai/papers/10.1201/b13150
- The paper
- Joe, H. (1997). Multivariate Models and Multivariate Dependence Concepts. C&H/CRC Monographs on Statistics & Applied Probability. https://doi.org/10.1201/b13150
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.