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183 sidor
1995

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.

Författare: Heidi H Andersen, Malene Hojbjerre, Dorte Sorensen, Poul S Eriksen
Format: Pocket/Paperback
ISBN: 9780387945217
Språk: Engelska
Antal sidor: 183
Utgivningsdatum: 1995-05-01
Förlag: Springer-Verlag New York Inc.