By Malene Hojbjerre, Dorte Sorensen
Within the final decade, graphical versions became more and more renowned as a statistical software. This booklet is the 1st which gives an account of graphical versions for multivariate advanced general distributions. starting with an advent to the multivariate advanced general distribution, the authors enhance the marginal and conditional distributions of random vectors and matrices. Then they introduce complicated MANOVA versions and parameter estimation and speculation trying out for those types. After introducing undirected graphs, they then improve the idea of complicated common graphical types together with the utmost chance estimation of the focus matrix and speculation checking out of conditional independence.
Read or Download Linear and Graphical Models: for the Multivariate Complex Normal Distribution (Lecture Notes in Statistics) PDF
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