| 書目名稱 | Linear and Graphical Models |
| 副標題 | for the Multivariate |
| 編輯 | H. H. Andersen,M. H?jbjerre,P. S. Eriksen |
| 視頻video | http://file.papertrans.cn/587/586454/586454.mp4 |
| 叢書名稱 | Lecture Notes in Statistics |
| 圖書封面 |  |
| 描述 | 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. |
| 出版日期 | Book 1995 |
| 關鍵詞 | ANOVA; Estimator; Likelihood; Normal distribution; Random variable |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4612-4240-6 |
| isbn_softcover | 978-0-387-94521-7 |
| isbn_ebook | 978-1-4612-4240-6Series ISSN 0930-0325 Series E-ISSN 2197-7186 |
| issn_series | 0930-0325 |
| copyright | Springer-Verlag New York, Inc. 1995 |
|Archiver|手機版|小黑屋|
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