000			01770nam a22002297a 4500
001			sulb0041051
003			BD-SySUS
005			20160411162150.0
008			160411s1989 nyua|||| |||| 001 0 eng d
020			_z0077071131
040			_aDLC _bDLC _eDLC _dBD-SySUS _cDLC
082	0	0	_a519.5 _222 _bDOS
100	1		_aDolton, Peter J. _915036
245	1	4	_aStatistics in action book 2 distribution theory / _cPeter J. dolton, Gerald H. Makepeace and John G. Treble
300			_axv, 169 p. : _bill. ; _c24 cm.
500			_aIncludes index.
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	_amathematical statistics _912652
700			_aMakepeac, Gerald H. _915037
700			_aTreble, John G. _915038
942			_2ddc _cBK
999			_c42919 _d42919