000			04071nam a22003855i 4500
001			978-0-387-09614-8
003			DE-He213
005			20250710083924.0
007			cr nn 008mamaa
008			100301s2009 xxu| s |||| 0|eng d
020			_a9780387096148 _a99780387096148
024	7		_a10.1007/b101765 _2doi
100	1		_aLai, Chin Diew. _eauthor.
245	1	0	_aContinuous Bivariate Distributions _h[recurso electrónico] : _bSecond Edition / _cby Chin Diew Lai, N. Balakrishnan.
264		1	_aNew York, NY : _bSpringer New York, _c2009.
300			_bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aUnivariate Distributions -- Bivariate Copulas -- Distributions Expressed as Copulas -- Concepts of Stochastic Dependence -- Measures of Dependence -- Construction of Bivariate Distributions -- Bivariate Distributions Constructed by the Conditional Approach -- Variables-in-Common Method -- Bivariate Gamma and Related Distributions -- Simple Forms of the Bivariate Density Function -- Bivariate Exponential and Related Distributions -- Bivariate Normal Distribution -- Bivariate Extreme-Value Distributions -- Elliptically Symmetric Bivariate Distributions and Other Symmetric Distributions -- Simulation of Bivariate Observations.
520			_aRandom variables are rarely independent in practice and so many multivariate distributions have been proposed in the literature to give a dependence structure for two or more variables. In this book, we restrict ourselves to the bivariate distributions for two reasons: (i) correlation structure and other properties are easier to understand and the joint density plot can be displayed more easily, and (ii) a bivariate distribution can normally be extended to a multivariate one through a vector or matrix representation. This volume is a revision of Chapters 1-17 of the previous book Continuous Bivariate Distributions, Emphasising Applications authored by Drs. Paul Hutchinson and Chin-Diew Lai. The book updates the subject of copulas which have grown immensely during the past two decades. Similarly, conditionally specified distributions and skewed distributions have become important topics of discussion in this area of research. This volume, which provides an up-to-date review of various developments relating to bivariate distributions in general, should be of interest to academics and graduate students, as well as applied researchers in finance, economics, science, engineering and technology. N. BALAKRISHNAN is Professor in the Department of Mathematics and Statistics at McMaster University, Hamilton, Ontario, Canada. He has published numerous research articles in many areas of probability and statistics and has authored a number of books including the four-volume series on Distributions in Statistics, jointly with Norman L. Johnson and S. Kotz, published by Wiley. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, and the Editor-in-Chief of Communications in Statistics and the Executive Editor of Journal of Statistical Planning and Inference. CHIN-DIEW LAI holds a Personal Chair in Statistics at Massey University, Palmerston North, New Zealand. He has published more than 100 peer-reviewed research articles and co-authored three well-received books. He was a former editor-in-chief and is now an Associate Editor of the Journal of Applied Mathematics and Decision Sciences.
650		0	_aSTATISTICS.
650		0	_aMATHEMATICAL STATISTICS.
650	1	4	_aSTATISTICS.
650	2	4	_aSTATISTICAL THEORY AND METHODS.
700	1		_aBalakrishnan, N. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387096131
856	4	0	_uhttp://dx.doi.org/10.1007/b101765 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SMA
942			_2ddc _cER
999			_c55991 _d55991