Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. At the same time it shows how functional data can be studied through parameter-free statistical ideas, and offers an original presentation of new nonparametric statistical methods for functional data analysis.
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Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. At the same time it shows how functional data can be studied through parameter-free statistical ideas, and offers an original presentation of new nonparametric statistical methods for functional data analysis.
Imprint | Springer-Verlag New York |
Country of origin | United States |
Series | Springer Series in Statistics |
Release date | November 2010 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2006 |
Authors | Frederic Ferraty, Philippe Vieu |
Dimensions | 235 x 155 x 15mm (L x W x T) |
Format | Paperback |
Pages | 260 |
Edition | Softcover reprint of hardcover 1st ed. 2006 |
ISBN-13 | 978-1-4419-2141-3 |
Barcode | 9781441921413 |
Categories | |
LSN | 1-4419-2141-9 |