Exploring Multivariate Data with the Forward Search:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2004
|
| Schriftenreihe: | Springer Series in Statistics
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | The forward search provides a method of revealing the structure of data through a mixture of model fitting and informative plots. The continuous multivariate data that are the subject of this book are often analyzed as if they come from one or more normal distributions. Such analyses, including the need for transformation, may be distorted by the presence of unidentified subsets and outliers, both individual and clustered. These important features are disguised by the standard procedures of multivariate analysis. The book introduces methods that reveal the effect of each observation on fitted models and inferences. The powerful methods of data analysis will be of importance to scientists and statisticians. Although the emphasis is on the analysis of data, theoretical developments make the book suitable for a graduate statistical course on multivariate analysis. Topics covered include principal components analysis, discriminant analysis, cluster analysis and the analysis of spatial data. S-Plus programs for the forward search are available on a web site. This book is a companion to Atkinson and Riani's Robust Diagnostic Regression Analysis of which the reviewer for The Journal of the Royal Statistical Society wrote "I read this book, compulsive reading such as it was, in three sittings." Anthony Atkinson is Emeritus Professor of Statistics at the London School of Economics. He is also the author of Plots, Transformations, and Regression and coauthor of Optimum Experimental Designs. Professor Atkinson has served as Editor of The Journal of the Royal Statistical Society, Series B. |
| Beschreibung: | 1 Online-Ressource (XXIV, 624 p) |
| ISBN: | 9780387218403 9781441923530 |
| ISSN: | 0172-7397 |
| DOI: | 10.1007/978-0-387-21840-3 |
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Datensatz im Suchindex
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| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
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| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-0-387-21840-3 |
| format | Electronic eBook |
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| id | DE-604.BV042419015 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:03Z |
| institution | BVB |
| isbn | 9780387218403 9781441923530 |
| issn | 0172-7397 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027854432 |
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| physical | 1 Online-Ressource (XXIV, 624 p) |
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| publisher | Springer New York |
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| spelling | Atkinson, Anthony C. Verfasser aut Exploring Multivariate Data with the Forward Search by Anthony C. Atkinson, Marco Riani, Andrea Cerioli New York, NY Springer New York 2004 1 Online-Ressource (XXIV, 624 p) txt rdacontent c rdamedia cr rdacarrier Springer Series in Statistics 0172-7397 The forward search provides a method of revealing the structure of data through a mixture of model fitting and informative plots. The continuous multivariate data that are the subject of this book are often analyzed as if they come from one or more normal distributions. Such analyses, including the need for transformation, may be distorted by the presence of unidentified subsets and outliers, both individual and clustered. These important features are disguised by the standard procedures of multivariate analysis. The book introduces methods that reveal the effect of each observation on fitted models and inferences. The powerful methods of data analysis will be of importance to scientists and statisticians. Although the emphasis is on the analysis of data, theoretical developments make the book suitable for a graduate statistical course on multivariate analysis. Topics covered include principal components analysis, discriminant analysis, cluster analysis and the analysis of spatial data. S-Plus programs for the forward search are available on a web site. This book is a companion to Atkinson and Riani's Robust Diagnostic Regression Analysis of which the reviewer for The Journal of the Royal Statistical Society wrote "I read this book, compulsive reading such as it was, in three sittings." Anthony Atkinson is Emeritus Professor of Statistics at the London School of Economics. He is also the author of Plots, Transformations, and Regression and coauthor of Optimum Experimental Designs. Professor Atkinson has served as Editor of The Journal of the Royal Statistical Society, Series B. Statistics Mathematical statistics Statistical Theory and Methods Statistik Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf Multivariate Analyse (DE-588)4040708-1 s 1\p DE-604 Riani, Marco Sonstige oth Cerioli, Andrea Sonstige oth https://doi.org/10.1007/978-0-387-21840-3 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Atkinson, Anthony C. Exploring Multivariate Data with the Forward Search Statistics Mathematical statistics Statistical Theory and Methods Statistik Multivariate Analyse (DE-588)4040708-1 gnd |
| subject_GND | (DE-588)4040708-1 |
| title | Exploring Multivariate Data with the Forward Search |
| title_auth | Exploring Multivariate Data with the Forward Search |
| title_exact_search | Exploring Multivariate Data with the Forward Search |
| title_full | Exploring Multivariate Data with the Forward Search by Anthony C. Atkinson, Marco Riani, Andrea Cerioli |
| title_fullStr | Exploring Multivariate Data with the Forward Search by Anthony C. Atkinson, Marco Riani, Andrea Cerioli |
| title_full_unstemmed | Exploring Multivariate Data with the Forward Search by Anthony C. Atkinson, Marco Riani, Andrea Cerioli |
| title_short | Exploring Multivariate Data with the Forward Search |
| title_sort | exploring multivariate data with the forward search |
| topic | Statistics Mathematical statistics Statistical Theory and Methods Statistik Multivariate Analyse (DE-588)4040708-1 gnd |
| topic_facet | Statistics Mathematical statistics Statistical Theory and Methods Statistik Multivariate Analyse |
| url | https://doi.org/10.1007/978-0-387-21840-3 |
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