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＜電子ブック＞
Introduction to Graphical Modelling / by David Edwards
(Springer Texts in Statistics. ISSN:21974136)

版	1st ed. 1995.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	1995
本文言語	英語
大きさ	XII, 275 p : online resource
著者標目	*Edwards, David author SpringerLink (Online service)
件　名	LCSH:Probabilities FREE:Probability Theory
一般注記	Graphical modelling is a form of multivariate analysis that uses graphs to represent models. They enable concise representations of associational and casual relations between variables under study. This textbook provides an introduction to graphical models whose emphasis is on its applications and on the practicalities rather than a formal development. With the book comes a diskette containing a student version of MIM - a popular graphical modelling software package for the PC. Following an introductory chapter which sets the scene and describes some of the basic ideas of graphical modelling, subsequent chapters describe particular families of models including log-linear models, Gaussian models, and mixed models for discrete and continuous data. Further chapters cover hypothesis testing for mixed models and discuss issues of model selection and more advanced topics HTTP:URL=https://doi.org/10.1007/978-1-4684-0481-4

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