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Sinopsis
This text represents a comprehensive treatment of the results related to the multivariate normal distribution. In addition to the classical topics on distribution theory, correlation analysis and sampling distributions, it also contains recent results reported in relevant literature. The material is organized in a unified modern approach, and the main themes are dependence, probability inequalities, and their roles in theory and applications. Some of the properties (such as log-concavity, unimodality, Schurconcavity and total positivity) of a multivariate normal density function are discussed, and results that follow from these properties and reviewed. The volume also includes tables of the equi-coordinate percentage points and probability inequalities for exchangeable normal variables. The volume should be accessible to graduate students and advanced undergraduates in statistics, mathematics, and related applied areas, and can be used as a reference in a course on multivariate analysis.
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This text represents a comprehensive treatment of the results related to the multivariate normal distribution. In addition to the classical topics on distribution theory, correlation analysis and sampling distributions, it also contains recent results reported in relevant literature. The material is organized in a unified modern approach, and the main themes are dependence, probability inequalities, and their roles in theory and applications. Some of the properties (such as log-concavity, unimodality, Schurconcavity and total positivity) of a multivariate normal density function are discussed, and results that follow from these properties and reviewed. The volume also includes tables of the equi-coordinate percentage points and probability inequalities for exchangeable normal variables. The volume should be accessible to graduate students and advanced undergraduates in statistics, mathematics, and related applied areas, and can be used as a reference in a course on multivariate analysis.
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The multivariate normal distribution.
Publicado por
New York, Springer-Verlag, 1990
ISBN 10: 3540970622
ISBN 13: 9783540970620
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Librería: Antiquariat Bookfarm, Löbnitz, Alemania
Calificación del vendedor: 5 de 5 estrellas
Hardcover. xii, 271 p. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. C-05455 3540970622 Sprache: Englisch Gewicht in Gramm: 550. Nº de ref. del artículo: 2491709
Cantidad disponible: 1 disponibles
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The multivariate normal distribution.
Publicado por
New York, Springer, 1990
ISBN 10: 3540970622
ISBN 13: 9783540970620
Antiguo o usado
Tapa dura
Librería: Antiquariat Bookfarm, Löbnitz, Alemania
Calificación del vendedor: 5 de 5 estrellas
Hardcover. 271 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. 3540970622 Sprache: Englisch Gewicht in Gramm: 550. Nº de ref. del artículo: 2194157
Cantidad disponible: 1 disponibles
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The multivariate normal Distribution ; Springer Series in Statistics
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New York ; Berlin ; Heidelberg ; London ; Paris ; Tokyo ; Hong Kong : Springer, 1990
ISBN 10: 3540970622
ISBN 13: 9783540970620
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Librería: Roland Antiquariat UG haftungsbeschränkt, Weinheim, Alemania
Calificación del vendedor: 5 de 5 estrellas
Hardcover. 271 p. Good condition. Reading pages are clean and without markings. Slight signs of storage and use. Inner fold slightly torn, few pages loose. Spine slightly light-margined. Spine edge slightly bumped. Book corners slightly bumped. Book edges slightly stained. Otherwise a good copy. 9783540970620 Sprache: Englisch Gewicht in Gramm: 540. Nº de ref. del artículo: 238411
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The Multivariate Normal Distribution (Applications of Mathematics)
Librería: Mispah books, Redhill, SURRE, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Hardcover. Condición: Like New. Like New. book. Nº de ref. del artículo: ERICA82335409706226
Cantidad disponible: 1 disponibles