Principal Component Analysis:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2002
|
| Ausgabe: | Second Edition |
| Schriftenreihe: | Springer Series in Statistics
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Principal component analysis is central to the study of multivariate data. Although one of the earliest multivariate techniques, it continues to be the subject of much research, ranging from new model-based approaches to algorithmic ideas from neural networks. It is extremely versatile, with applications in many disciplines. The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once again the definitive text on the subject. It includes core material, current research and a wide range of applications. Its length is nearly double that of the first edition. Researchers in statistics, or in other fields that use principal component analysis, will find that the book gives an authoritative yet accessible account of the subject. It is also a valuable resource for graduate courses in multivariate analysis. The book requires some knowledge of matrix algebra. Ian Jolliffe is Professor of Statistics at the University of Aberdeen. He is author or co-author of over 60 research papers and three other books. His research interests are broad, but aspects of principal component analysis have fascinated him and kept him busy for over 30 years |
| Beschreibung: | 1 Online-Ressource (XXX, 488 p) |
| ISBN: | 9780387224404 9780387954424 |
| ISSN: | 0172-7397 |
| DOI: | 10.1007/b98835 |
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Datensatz im Suchindex
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| discipline | Mathematik |
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| edition | Second Edition |
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| isbn | 9780387224404 9780387954424 |
| issn | 0172-7397 |
| language | English |
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| spelling | Jolliffe, I. T. Verfasser aut Principal Component Analysis by I. T. Jolliffe Second Edition New York, NY Springer New York 2002 1 Online-Ressource (XXX, 488 p) txt rdacontent c rdamedia cr rdacarrier Springer Series in Statistics 0172-7397 Principal component analysis is central to the study of multivariate data. Although one of the earliest multivariate techniques, it continues to be the subject of much research, ranging from new model-based approaches to algorithmic ideas from neural networks. It is extremely versatile, with applications in many disciplines. The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once again the definitive text on the subject. It includes core material, current research and a wide range of applications. Its length is nearly double that of the first edition. Researchers in statistics, or in other fields that use principal component analysis, will find that the book gives an authoritative yet accessible account of the subject. It is also a valuable resource for graduate courses in multivariate analysis. The book requires some knowledge of matrix algebra. Ian Jolliffe is Professor of Statistics at the University of Aberdeen. He is author or co-author of over 60 research papers and three other books. His research interests are broad, but aspects of principal component analysis have fascinated him and kept him busy for over 30 years Statistics Mathematical statistics Statistical Theory and Methods Statistik Hauptkomponentenanalyse (DE-588)4129174-8 gnd rswk-swf Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf Faktorenanalyse (DE-588)4016338-6 gnd rswk-swf Faktorenanalyse (DE-588)4016338-6 s 1\p DE-604 Hauptkomponentenanalyse (DE-588)4129174-8 s 2\p DE-604 Multivariate Analyse (DE-588)4040708-1 s 3\p DE-604 https://doi.org/10.1007/b98835 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 | Jolliffe, I. T. Principal Component Analysis Statistics Mathematical statistics Statistical Theory and Methods Statistik Hauptkomponentenanalyse (DE-588)4129174-8 gnd Multivariate Analyse (DE-588)4040708-1 gnd Faktorenanalyse (DE-588)4016338-6 gnd |
| subject_GND | (DE-588)4129174-8 (DE-588)4040708-1 (DE-588)4016338-6 |
| title | Principal Component Analysis |
| title_auth | Principal Component Analysis |
| title_exact_search | Principal Component Analysis |
| title_full | Principal Component Analysis by I. T. Jolliffe |
| title_fullStr | Principal Component Analysis by I. T. Jolliffe |
| title_full_unstemmed | Principal Component Analysis by I. T. Jolliffe |
| title_short | Principal Component Analysis |
| title_sort | principal component analysis |
| topic | Statistics Mathematical statistics Statistical Theory and Methods Statistik Hauptkomponentenanalyse (DE-588)4129174-8 gnd Multivariate Analyse (DE-588)4040708-1 gnd Faktorenanalyse (DE-588)4016338-6 gnd |
| topic_facet | Statistics Mathematical statistics Statistical Theory and Methods Statistik Hauptkomponentenanalyse Multivariate Analyse Faktorenanalyse |
| url | https://doi.org/10.1007/b98835 |
| work_keys_str_mv | AT jolliffeit principalcomponentanalysis |