Linear graphical models multivariate de andersen heidi (3 resultados)

Linear and Graphical Models: for the Multivariate Complex Normal Distribution (Lecture Notes in Statistics, 101)
Heidi H. Andersen, Malene Hojbjerre, Dorte Sorensen et Poul S. Eriksen
Idioma: Inglés
Editorial: Springer, 1995
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Librería: Ammareal, Morangis, FranciaAmmareal
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Softcover. Condición: Très bon. Ancien livre de bibliothèque avec équipements. Edition 1995. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1995. Ammareal gives back up to 15% of this item's net price to charity organizations. …

Linear and Graphical Models: for the Multivariate Complex Normal Distribution (Lecture Notes in Statistics, 101)
Hojbjerre, Malene,Andersen, Heidi H.,Eriksen, Poul S.,Sorensen, Dorte
Idioma: Inglés
Editorial: Springer, 1995
- Tapa blanda
Librería: HPB-Ruby, Dallas, TX, Estados Unidos de AmericaHPB-Ruby
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Bueno
EUR 32,33
Envío por EUR 3,36Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponible
paperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Linear and Graphical Models : for the Multivariate Complex Normal Distribution
Heidi H. Andersen, Poul S. Eriksen, Dorte Sorensen, Malene Hojbjerre
Idioma: Inglés
Editorial: Springer New York, 1995
- Tapa blanda
Librería: Buchpark, Trebbin, AlemaniaBuchpark
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OportunidadPrecio actual: EUR 42,00
Envío por EUR 105,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponible
Condición: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | In the last decade, graphical models have become increasingly popular as a statistical tool. This book is the first which provides an account of graphical models for multivariate complex normal distributions. Beginning with an introduction to the multivariate complex normal distribution, the authors develop the marginal and conditional distributions of random vectors and matrices. Then they introduce complex MANOVA models and parameter estimation and hypothesis testing for these models. After introducing undirected graphs, they then develop the theory of complex normal graphical models including the maximum likelihood estimation of the concentration matrix and hypothesis testing of conditional independence.…