Linear and Graphical Models: for the Multivariate Complex Normal Distribution (Lecture Notes in Statistics)

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9780387945217: Linear and Graphical Models: for the Multivariate Complex Normal Distribution (Lecture Notes in Statistics)

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.

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Heidi H. Andersen, Malene Hojbjerre, D. Sorensen
Published by Springer-Verlag New York Inc., United States (1995)
ISBN 10: 0387945210 ISBN 13: 9780387945217
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Book Description Springer-Verlag New York Inc., United States, 1995. Paperback. Book Condition: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Softcover reprint of the original 1st ed. 1995. Bookseller Inventory # LIE9780387945217

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Heidi H. Andersen, Malene Hojbjerre, D. Sorensen
Published by Springer-Verlag New York Inc., United States (1995)
ISBN 10: 0387945210 ISBN 13: 9780387945217
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Book Description Springer-Verlag New York Inc., United States, 1995. Paperback. Book Condition: New. Language: English . Brand New Book ***** Print on Demand *****.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. Softcover reprint of the original 1st ed. 1995. Bookseller Inventory # AAV9780387945217

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Heidi H. Andersen, Malene Hojbjerre, D. Sorensen
Published by Springer-Verlag New York Inc., United States (1995)
ISBN 10: 0387945210 ISBN 13: 9780387945217
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Book Description Springer-Verlag New York Inc., United States, 1995. Paperback. Book Condition: New. Language: English . Brand New Book ***** Print on Demand *****. 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. Softcover reprint of the original 1st ed. 1995. Bookseller Inventory # AAV9780387945217

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Book Description Springer-Verlag New York Inc., 1995. PAP. Book Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # IQ-9780387945217

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Book Description Springer-Verlag New York Inc., 1995. PAP. Book Condition: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bookseller Inventory # LQ-9780387945217

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Book Description Springer, 2016. Paperback. Book Condition: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Bookseller Inventory # ria9780387945217_lsuk

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HEIDI H. ANDERSEN
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Book Description Springer, 1995. Paperback. Book Condition: NEW. 9780387945217 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Bookseller Inventory # HTANDREE0411186

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Book Description Springer, 2017. Paperback. Book Condition: New. Never used! This item is printed on demand. Bookseller Inventory # 0387945210

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Heidi H. Andersen, Malene Hojbjerre, Dorte Sorensen, Poul S. Eriksen
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Book Description Springer, 1995. Paperback. Book Condition: New. Softcover reprint of the origina. This item is printed on demand. Bookseller Inventory # DADAX0387945210

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Heidi H. Andersen; Malene Hojbjerre; Dorte Sorensen; Poul S. Eriksen
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Book Description Springer, 2013. Book Condition: New. This item is printed on demand for shipment within 3 working days. Bookseller Inventory # LP9780387945217

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