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008			150903s2007 xxu| o |||| 0|eng d
020			_a9780387684772 _99780387684772
024	7		_a10.1007/9780387684772 _2doi
035			_avtls000331872
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050		4	_aTA169.7
100	1		_aMarshall, Albert W. _eautor _9304782
245	1	0	_aLife Distributions : _bStructure of Nonparametric, Semiparametric, and Parametric Families / _cby Albert W. Marshall, Ingram Olkin.
264		1	_aNew York, NY : _bSpringer New York, _c2007.
300			_axx, 782 páginas 138 ilustraciones _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aSpringer Series in Statistics, _x0172-7397
500			_aSpringer eBooks
505	0		_aBasics -- Preliminaries -- Ordering Distributions: Descriptive Statistics -- Mixtures -- Nonparametric Families -- Nonparametric Families: Densities and Hazard Rates -- Nonparametric Families: Origins in Reliability Theory -- Nonparametric Families: Inequalities for Moments and Survival Functions -- Semiparametric Families -- Semiparametric Families -- Parametric Families -- The Exponential Distribution -- Parametric Extensions of the Exponential Distribution -- Gompertz and Gompertz-Makeham Distributions -- The Pareto and F Distributions and Their Parametric Extensions -- Logarithmic Distributions -- The Inverse Gaussian Distribution -- Distributions with Bounded Support -- Additional Parametric Families -- Models Involving Several Variables -- Covariate Models -- Several Types of Failure: Competing Risks -- More About Semi-parametric Families -- Characterizations Through Coincidences of Semiparametric Families -- More About Semiparametric Families -- Complementary Topics -- Some Topics from Probability Theory -- Convexity and Total Positivity -- Some Functional Equations -- Gamma and Beta Functions -- Some Topics from Analysis.
520			_aFor over 200 years, practitioners have been developing parametric families of probability distributions for data analysis. More recently, an active development of nonparametric and semiparametric families has occurred. This book includes an extensive discussion of a wide variety of distribution families—nonparametric, semiparametric and parametric—some well known and some not. An all-encompassing view is taken for the purpose of identifying relationships, origins and structures of the various families. A unified methodological approach for the introduction of parameters into families is developed, and the properties that the parameters imbue a distribution are clarified. These results provide essential tools for intelligent choice of models for data analysis. Many of the results given are new and have not previously appeared in print. This book provides a comprehensive reference for anyone working with nonnegative data. Albert W. Marshall, Professor Emeritus of Statistics at the University of British Colombia, previously served on the faculty of the University of Rochester and on the staff of the Boeing Scientific Research Laboratories. His fundamental contributions to reliability theory have had a profound effect in furthering its development. Ingram Olkin is Professor Emeritus of Statistics and Education at Stanford University, after having served on the faculties of Michigan State University and the University of Minnesota. He has made significant contributions in multivariate analysis and in the development of statistical methods in meta-analysis, which has resulted in its use in many applications. Professors Marshall and Olkin, coauthors of papers on inequalities, multivariate distributions, and matrix analysis, are about to celebrate 50 years of collaborations. Their basic book on majorization has promoted awareness of the subject, and led to new applications in such fields as economics, combinatorics, statistics, probability, matrix theory, chemistry, and political science.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aOlkin, Ingram. _eautor _9304783
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9780387203331
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-68477-2 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c280088 _d280088