Introduction to Graphical Modelling:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2000
|
| Ausgabe: | Second Edition |
| Schriftenreihe: | Springer Texts in Statistics
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Graphic modelling is a form of multivariate analysis that uses graphs to represent models. These graphs display the structure of dependencies, both associational and causal, between the variables in the model. This textbook provides an introduction to graphical modelling with emphasis on applications and practicalities rather than on a formal development. It is based on the popular software package for graphical modelling, MIM, a freeware version of which can be downloaded from the Internet. 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 models for mixed discrete and continuous variables. Further chapters cover hypothesis testing and model selection. Chapters 7 and 8 are new to the second edition. Chapter 7 describes the use of directed graphs, chain graphs, and other graphs. Chapter 8 summarizes some recent work on causal inference, relevant when graphical models are given a causal interpretation. This book will provide a useful introduction to this topic for students and researchers |
| Beschreibung: | 1 Online-Ressource (XV, 335 p) |
| ISBN: | 9781461204930 9781461267874 |
| ISSN: | 1431-875X |
| DOI: | 10.1007/978-1-4612-0493-0 |
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Datensatz im Suchindex
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| author | Edwards, David |
| author_facet | Edwards, David |
| author_role | aut |
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| building | Verbundindex |
| bvnumber | BV042419540 |
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| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4612-0493-0 |
| edition | Second Edition |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-12-06T09:04:01Z |
| institution | BVB |
| isbn | 9781461204930 9781461267874 |
| issn | 1431-875X |
| language | English |
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| spelling | Edwards, David Verfasser aut Introduction to Graphical Modelling by David Edwards Second Edition New York, NY Springer New York 2000 1 Online-Ressource (XV, 335 p) txt rdacontent c rdamedia cr rdacarrier Springer Texts in Statistics 1431-875X Graphic modelling is a form of multivariate analysis that uses graphs to represent models. These graphs display the structure of dependencies, both associational and causal, between the variables in the model. This textbook provides an introduction to graphical modelling with emphasis on applications and practicalities rather than on a formal development. It is based on the popular software package for graphical modelling, MIM, a freeware version of which can be downloaded from the Internet. 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 models for mixed discrete and continuous variables. Further chapters cover hypothesis testing and model selection. Chapters 7 and 8 are new to the second edition. Chapter 7 describes the use of directed graphs, chain graphs, and other graphs. Chapter 8 summarizes some recent work on causal inference, relevant when graphical models are given a causal interpretation. This book will provide a useful introduction to this topic for students and researchers Statistics Mathematical statistics Statistical Theory and Methods Statistik Graphentheorie (DE-588)4113782-6 gnd rswk-swf Graph (DE-588)4021842-9 gnd rswk-swf Graphisches Modell (DE-588)4606156-3 gnd rswk-swf Statistisches Modell (DE-588)4121722-6 gnd rswk-swf Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf Multivariate Analyse (DE-588)4040708-1 s Statistisches Modell (DE-588)4121722-6 s Graph (DE-588)4021842-9 s 1\p DE-604 Graphentheorie (DE-588)4113782-6 s 2\p DE-604 Graphisches Modell (DE-588)4606156-3 s 3\p DE-604 https://doi.org/10.1007/978-1-4612-0493-0 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Edwards, David Introduction to Graphical Modelling Statistics Mathematical statistics Statistical Theory and Methods Statistik Graphentheorie (DE-588)4113782-6 gnd Graph (DE-588)4021842-9 gnd Graphisches Modell (DE-588)4606156-3 gnd Statistisches Modell (DE-588)4121722-6 gnd Multivariate Analyse (DE-588)4040708-1 gnd |
| subject_GND | (DE-588)4113782-6 (DE-588)4021842-9 (DE-588)4606156-3 (DE-588)4121722-6 (DE-588)4040708-1 |
| title | Introduction to Graphical Modelling |
| title_auth | Introduction to Graphical Modelling |
| title_exact_search | Introduction to Graphical Modelling |
| title_full | Introduction to Graphical Modelling by David Edwards |
| title_fullStr | Introduction to Graphical Modelling by David Edwards |
| title_full_unstemmed | Introduction to Graphical Modelling by David Edwards |
| title_short | Introduction to Graphical Modelling |
| title_sort | introduction to graphical modelling |
| topic | Statistics Mathematical statistics Statistical Theory and Methods Statistik Graphentheorie (DE-588)4113782-6 gnd Graph (DE-588)4021842-9 gnd Graphisches Modell (DE-588)4606156-3 gnd Statistisches Modell (DE-588)4121722-6 gnd Multivariate Analyse (DE-588)4040708-1 gnd |
| topic_facet | Statistics Mathematical statistics Statistical Theory and Methods Statistik Graphentheorie Graph Graphisches Modell Statistisches Modell Multivariate Analyse |
| url | https://doi.org/10.1007/978-1-4612-0493-0 |
| work_keys_str_mv | AT edwardsdavid introductiontographicalmodelling |