书目名称 | Introduction to Graphical Modelling |
编辑 | David Edwards |
视频video | |
丛书名称 | Springer Texts in Statistics |
图书封面 |  |
描述 | 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. |
出版日期 | Textbook 19951st edition |
关键词 | Conditioning; Graphical models; Independence; development; form; graphs; model; modeling; modelling; personal |
版次 | 1 |
doi | https://doi.org/10.1007/978-1-4684-0481-4 |
isbn_ebook | 978-1-4684-0481-4Series ISSN 1431-875X Series E-ISSN 2197-4136 |
issn_series | 1431-875X |
copyright | Springer-Verlag New York 1995 |