Graphical Models in Applied Multivariate Statistics by J Whittaker
Graphical models--a subset of log-linear models--reveal the interrelationships between multiple variables and features of the underlying conditional independence. Following the theorem-proof-remarks format, this introduction to the use of graphical models in the description and modeling of multivariate systems covers conditional independence, several types of independence graphs, Gaussian models, issues in model selection, regression and decomposition. Many numerical examples and exercises with solutions are included.-
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J. Whittaker is the author of Graphical Models in Applied Multivariate Statistics, published by Wiley.
| SKU | Unavailable |
| ISBN 13 | 9780471917502 |
| ISBN 10 | 0471917508 |
| Title | Graphical Models in Applied Multivariate Statistics |
| Author | J Whittaker |
| Series | Wiley Series In Probability And Statistics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Wiley |
| Year published | 1990-03-28 |
| Number of pages | 464 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |