Analysis of Variance for Functional Data

Author:   Jin-Ting Zhang
Publisher:   Taylor & Francis Inc
Volume:   127
ISBN:  

9781439862735


Pages:   410
Publication Date:   18 June 2013
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Analysis of Variance for Functional Data


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Full Product Details

Author:   Jin-Ting Zhang
Publisher:   Taylor & Francis Inc
Imprint:   Chapman & Hall/CRC
Volume:   127
Dimensions:   Width: 15.60cm , Height: 1.50cm , Length: 23.40cm
Weight:   0.703kg
ISBN:  

9781439862735


ISBN 10:   1439862737
Pages:   410
Publication Date:   18 June 2013
Audience:   Professional and scholarly ,  General/trade ,  Professional and scholarly ,  Professional & Vocational ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Reviews

... 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


... 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


... 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


Author Information

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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