Inference for Functional Data with Applications

• Main Authors: Horváth, Lajos (Author), Kokoszka, Piotr (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2012.
• Series: Springer Series in Statistics, 200
• Subjects: Statistics.; Statistical Theory and Methods.; Statistics, general.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Statistics for Business/Economics/Mathematical Finance/Insurance.

This book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis to problems arising in geosciences, finance, economics and biology. It is concerned with inference based on second order statistics, especially those related to...

Table of Contents:

• Independent functional observations
• The functional linear model
• Dependent functional data
• References
• Index.