Analysis of Variance for Functional Data
1st Edition
Published on 18. June 2013
412 pages
978-1-4398-6274-2 (ISBN)
Description
Despite research interest in functional data analysis in the last three decades, few books are available on the subject. Filling this gap, Analysis of Variance for Functional Data presents up-to-date hypothesis testing methods for functional data analysis. The book covers the reconstruction of functional observations, functional ANOVA, functional l
Reviews / Votes
"... a focused presentation of functional ANOVA and linear function-on-scalar regression problems using the 'smooth first' approach to estimation and inference. I would recommend this book to anyone interested in theoretical developments and hypothesis testing in this commonly encountered class of problems."-Jeff Goldsmith, Journal of the American Statistical Association, March 2014
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Illustrations
80 s/w Abbildungen
80 b/w images
File size
4,77 MB
ISBN-13
978-1-4398-6274-2 (9781439862742)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Jin-Ting Zhang
Analysis of Variance for Functional Data
Book
10/2024
1st Edition
Chapman & Hall/CRC
€78.27
Shipment within 10-20 days
Jin-Ting Zhang
Analysis of Variance for Functional Data
Book
06/2013
1st Edition
Chapman & Hall/CRC
€210.81
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Person
Jin-Ting Zhang is an associate professor in the Department of Statistics and Applied Probability at the National University of Singapore. He has published extensively and has served on the editorial boards of several international statistical journals. He is the coauthor of Nonparametric Regression Methods for Longitudinal Data Analysis: Mixed-Effect Modelling Approaches and the coeditor of Advances in Statistics: Proceedings of the Conference in Honor of Professor Zhidong Bai on His 65th Birthday.
Content
Introduction. Nonparametric Smoothers for a Single Curve. Reconstruction of Functional Data. Stochastic Processes. ANOVA for Functional Data. Linear Models with Functional Responses. Ill-Conditioned Functional Linear Models. Diagnostics of Functional Observations. Heteroscedastic ANOVA for Functional Data. Test of Equality of Covariance Functions. Bibliography. Index.
