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Linear and Graphical Models: For the Multivariate Complex Normal Distribution Softcover Repri Edition
Contributor(s): Andersen, Heidi H. (Author), Hojbjerre, Malene (Author), Sorensen, Dorte (Author)
ISBN: 0387945210     ISBN-13: 9780387945217
Publisher: Springer
OUR PRICE:   $104.49  
Product Type: Paperback
Published: May 1995
Qty:
Annotation: 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.
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - Multivariate Analysis
Dewey: 519.535
LCCN: 95019290
Series: Texts in Applied Mathematics
Physical Information: 0.42" H x 6.14" W x 9.21" (0.63 lbs) 183 pages