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 Inc. |
Country of origin | United States |
Series | Springer Series in Statistics |
Release date | June 2006 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2006 |
Authors | Frederic Ferraty, Philippe Vieu |
Dimensions | 237 x 155 x 16mm (L x W x T) |
Format | Hardcover |
Pages | 258 |
Edition | 2006 ed. |
ISBN-13 | 978-0-387-30369-7 |
Barcode | 9780387303697 |
Categories | |
LSN | 0-387-30369-3 |