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Inference for Functional Data with Applications

BuchGebunden
422 Seiten
Englisch
Springererschienen am09.05.2012
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.mehr
Verfügbare Formate
BuchGebunden
EUR171,19
BuchKartoniert, Paperback
EUR171,19
E-BookPDF1 - PDF WatermarkE-Book
EUR160,49

Produkt

KlappentextThis 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.
ZusammenfassungThis 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.
Details
ISBN/GTIN978-1-4614-3654-6
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2012
Erscheinungsdatum09.05.2012
ReiheSpringer Series in Statistics
Seiten422 Seiten
SpracheEnglisch
Gewicht820 g
IllustrationenXIV, 422 p.
Artikel-Nr.17393424

Inhalt/Kritik

Inhaltsverzeichnis
Independent functional observations.- The functional linear model.- Dependent functional data.- References.- Index.mehr
Kritik
From the reviews:

"This book offers an up-to-date perspective on the booming field of statistics with functional data [often called Functional Data Analysis (FDA)]. ... this book is a timely, valuable addition to the current textbooks on FDA. It will surely find its place among the well-known references ... ." (Antonio Cuevas, Mathematical Reviews, January, 2013)mehr

Autor

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.