The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
The Skew-Normal and Related Families
Abstract
Interest in the skew-normal and related families of distributions has grown enormously over recent years, as theory has advanced, challenges of data have grown, and computational tools have made substantial progress. This comprehensive treatment, blending theory and practice, will be the standard resource for statisticians and applied researchers. Assuming only basic knowledge of (non-measure-theoretic) probability and statistical inference, the book is accessible to the wide range of researchers who use statistical modelling techniques. Guiding readers through the main concepts and results, it covers both the probability and the statistics sides of the subject, in the univariate and multivariate settings. The theoretical development is complemented by numerous illustrations and applications to a range of fields including quantitative finance, medical statistics, environmental risk studies, and industrial and business efficiency. The author's freely available R package sn, available from CRAN, equips readers to put the methods into action with their own data.
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McLachlan, G., & Peel, D. (2000) · Wiley Series in Probability and Statistics · doi:10.1002/0471721182 · Cited by 10,991
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Aigner, D., Lovell, C. A. K., & Schmidt, P. (1977) · Journal of Econometrics · doi:10.1016/0304-4076(77)90052-5 · Cited by 10,135
An Introduction to Efficiency and Productivity Analysis
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Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
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Bias reduction of maximum likelihood estimates
FIRTH, D. (1993) · Biometrika · doi:10.1093/biomet/80.1.27 · Cited by 5,035
Measures of multivariate skewness and kurtosis with applications
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Cited by
Schuemie, M. J., Chen, Y., Madigan, D., & Suchard, M. A. (2022) · Statistical Methods in Medical Research · doi:10.1177/09622802211060518 · Cited by 20
Metadata
- Authors
- Azzalini, A., & Capitanio, A.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2013-12-18
- OpenAlex
- W621293842
- Cited by
- 710
- References
- 86
- FWCI
- 7.28
- Type
- book
- 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).
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