Nonparametric Functional Data Analysis: Theory and Practice
Frederic Ferraty
€ 153.78
FREE Delivery in Ireland
Description for Nonparametric Functional Data Analysis: Theory and Practice
Paperback. Series: Springer Series in Statistics. Num Pages: 280 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 235 x 159 x 15. Weight in Grams: 398.
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.
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.
Product Details
Publisher
Springer-Verlag New York Inc.
Format
Paperback
Publication date
2010
Series
Springer Series in Statistics
Condition
New
Weight
398g
Number of Pages
260
Place of Publication
New York, NY, United States
ISBN
9781441921413
SKU
V9781441921413
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Nonparametric Functional Data Analysis: Theory and Practice
From the reviews: This is certainly a very valuable book for anyone interested in this new methodology. N.D.C. Veraverbeke for Short Book Reviews of the ISI, December 2006 The present book does bring something new and, indeed some novel theoretical investigations into the kinds of functional data ... Read more