Analysis of Variance for Functional Data
ISBN: 9780429070082
Platform/Publisher: Taylor & Francis / Chapman and Hall/CRC
Digital rights: Users: Unlimited; Printing: Unlimited; Download: Unlimited
Subjects: Bioscience; Mathematics & Statistics; Biology; Statistics & Probability; Statistics for the Biological Sciences; Statistics;

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

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.


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