000 | 02365nam a22003377a 4500 | ||
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001 | sulb-eb0015511 | ||
003 | BD-SySUS | ||
005 | 20160405134436.0 | ||
008 | 120220s2013||||enk o ||1 0|eng|d | ||
020 | _a9781139248891 (ebook) | ||
020 | _z9781107029279 (hardback) | ||
040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
050 | 0 | 0 |
_aQA273.6 _b.A98 2014 |
082 | 0 | 0 |
_a519.2/4 _223 |
100 | 1 |
_aAzzalini, Adelchi, _eauthor. |
|
245 | 1 | 4 |
_aThe Skew-Normal and Related Families / _cAdelchi Azzalini ; in collaboration with Antonella Capitanio. |
246 | 3 | _aThe Skew-Normal & Related Families | |
264 | 1 |
_aCambridge : _bCambridge University Press, _c2013. |
|
300 |
_a1 online resource (270 pages) : _bdigital, PDF file(s). |
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336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
||
490 | 0 |
_aInstitute of Mathematical Statistics Monographs ; _v3 |
|
500 | _aTitle from publisher's bibliographic system (viewed on 04 Apr 2016). | ||
520 | _aInterest 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. | ||
650 | 0 | _aDistribution (Probability theory) | |
776 | 0 | 8 |
_iPrint version: _z9781107029279 |
830 | 0 |
_aInstitute of Mathematical Statistics Monographs ; _v3. |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1017/CBO9781139248891 |
942 |
_2Dewey Decimal Classification _ceBooks |
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999 |
_c37355 _d37355 |