×


 x 

Shopping cart
3%OFFKokoszka, Piotr; Horvath, Lajos - Inference for Functional Data with Applications - 9781461436546 - V9781461436546
Stock image for illustration purposes only - book cover, edition or condition may vary.

Inference for Functional Data with Applications

€ 166.40
€ 161.95
You save € 4.45!
FREE Delivery in Ireland
Description for Inference for Functional Data with Applications hardcover. 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. Series: Springer Series in Statistics. Num Pages: 436 pages, 35 black & white tables, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 28. Weight in Grams: 812.

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 the functional principal component analysis. While it covers inference for independent and identically distributed functional data, its distinguishing feature is an in depth coverage of dependent functional data structures, including functional time series and spatially indexed functions. Specific inferential problems studied include two sample inference, change point analysis, tests for dependence in data and model residuals and ... Read more

The book can be read at two levels. Readers interested primarily in methodology will find detailed descriptions of the methods and examples of their application. Researchers interested also in mathematical foundations will find carefully developed theory. The organization of the chapters makes it easy for the reader to choose an appropriate focus. The book introduces the requisite, and frequently used, Hilbert space formalism in a systematic manner. This will be useful to graduate or advanced undergraduate students seeking a self-contained introduction to the subject. Advanced researchers will find novel asymptotic arguments.

Show Less

Product Details

Format
Hardback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
436
Condition
New
Series
Springer Series in Statistics
Number of Pages
422
Place of Publication
New York, NY, United States
ISBN
9781461436546
SKU
V9781461436546
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1

About Kokoszka, Piotr; Horvath, Lajos
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 ... Read more

Reviews for Inference for Functional Data with Applications
From the reviews: "This is an attractive, impressive and useful book, which gives an effective account of statistical methods and theory used in functional data analysis, as applied to problems arising in many fields, including finance, biological sciences, physics, the geosciences and economics. It serves as an excellent, contemporary reference text. Functional data analysis concerns statistical inference when individual ... Read more

Goodreads reviews for Inference for Functional Data with Applications


Subscribe to our newsletter

News on special offers, signed editions & more!