Inference for Functional Data with Applications

This book presents the latest statistical methods required for applying functional data analysis to problems arising in geosciences, finance, economics and biology. It describes all procedures algorithmically, supported by a complete asymptotic theory.

Author: Lajos Horváth,Piotr Kokoszka
Publisher: Springer
Published: 06/11/2014
Pages: 422
Binding Type: Paperback
Weight: 1.34lbs
Size: 9.21h x 6.14w x 0.89d
ISBN: 9781489990525

About the Author

Lajos Horváth is Professor of Mathematics at the University of Utah. He has served on the editorial boards of Statistics & Probability Letters, Journal of Statistical Planning and Inference and Journal of Time Series Econometrics. He has coauthored more than 250 research papers and 3 books, including Weighted Approximations in Probability and Statistics and Limit Theorems in Change-Point Analysis (both with Miklós Csörgö).

Piotr Kokoszka is Professor of Statistics at Colorado State University. He has served on the editorial boards of the journals Statistical Modelling and Computational Statistics. He has coauthored over 100 papers in areas of statistics and its applications focusing on dependent data.

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