The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
A Skew Extension of the T-Distribution, with Applications
Abstract
Summary: A tractable skew t-distribution on the real line is proposed. This includes as a special case the symmetric t-distribution, and otherwise provides skew extensions thereof. The distribution is potentially useful both for modelling data and in robustness studies. Properties of the new distribution are presented. Likelihood inference for the parameters of this skew t-distribution is developed. Application is made to two data modelling examples.
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Cites
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McQuarrie, D. A. (1966) · American Journal of Physics · doi:10.1119/1.1972842 · Cited by 40,433
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Cited by
Generalized additive models for location, scale and shape.
Rigby, R. A., & Stasinopoulos, D. M. (2005) · Journal of the Royal Statistical Society Series C: Applied Statistics · doi:10.1111/j.1467-9876.2005.00510.x · Cited by 3,228
Villar, J., Ismail, L. C., Victora, C. G., Ohuma, E. O., Bertino, E., Altman, D. G., Lambert, A., Papageorghiou, A. T., Carvalho, M., Jaffer, Y. A., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60932-6 · Cited by 2,281
Bayesian estimation supersedes the t-test
Kruschke, J. K. (2013) · Journal of Experimental Psychology: General · doi:10.1037/a0029146 · Cited by 1,530
The Skew-Normal and Related Families
Azzalini, A., & Capitanio, A. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9781139248891 · Cited by 710
Metadata
- Authors
- Jones, M. C., & Faddy, M. J.
- Venue
- Journal of the Royal Statistical Society Series B: Statistical Methodology
- Publisher
- Oxford University Press (OUP)
- Published
- 2003-01-28
- Volume
- 65
- Issue
- 1
- Pages
- 159-174
- ISSN
- 1369-7412 (ISSN-L)
- 1467-9868
- OpenAlex
- W2034661498
- Cited by
- 326
- References
- 21
- FWCI
- 8.80
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
