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Graphical Models in Applied Multivariate Statistics (Wiley Series in Probability and Statistics)

Graphical Models in Applied Multivariate Statistics (Wiley Series in Probability and Statistics)

Graphical Models in Applied Multivariate Statistics (Wiley Series in Probability
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Graphical Models in Applied Multivariate Statistics (Wiley Series in Probability and Statistics) Hardback - 0000 - 1st Edition

by Whittaker, J

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Wiley, 0000-00-00. 1. hardcover. Used: Good. 6.38x1.20x9.41. Buy with confidence. Excellent Customer Service & Return policy.
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Reader reviews for Graphical Models in Applied Multivariate Statistics (Wiley Series in Probability and Statistics)

From the publisher

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.

About the author

J. Whittaker is the author of Graphical Models in Applied Multivariate Statistics, published by Wiley.

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