Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2014
|
| Series: | Institute of Mathematical Statistics monographs
3 |
| Links: | https://doi.org/10.1017/CBO9781139248891 |
| Summary: | 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. |
| Physical Description: | 1 Online-Ressource (viii, 262 Seiten) |
| ISBN: | 9781139248891 |
Staff View
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| spelling | Azzalini, Adelchi The skew-normal and related families Adelchi Azzalini, Università degli Studi di Padova with the collaboration of Antonella Capitanio, Università di Bologna The Skew-Normal & Related Families Cambridge Cambridge University Press 2014 1 Online-Ressource (viii, 262 Seiten) txt c cr Institute of Mathematical Statistics monographs 3 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. Capitanio, Antonella 1964- Erscheint auch als Druck-Ausgabe 9781107029279 |
| spellingShingle | Azzalini, Adelchi The skew-normal and related families |
| title | The skew-normal and related families |
| title_alt | The Skew-Normal & Related Families |
| title_auth | The skew-normal and related families |
| title_exact_search | The skew-normal and related families |
| title_full | The skew-normal and related families Adelchi Azzalini, Università degli Studi di Padova with the collaboration of Antonella Capitanio, Università di Bologna |
| title_fullStr | The skew-normal and related families Adelchi Azzalini, Università degli Studi di Padova with the collaboration of Antonella Capitanio, Università di Bologna |
| title_full_unstemmed | The skew-normal and related families Adelchi Azzalini, Università degli Studi di Padova with the collaboration of Antonella Capitanio, Università di Bologna |
| title_short | The skew-normal and related families |
| title_sort | skew normal and related families |
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