Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators: Theory and Practice: 997 (Wiley Series in Probability and Statistics) - Image 1

£47.98

Wiley Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators: Theory and Practice: 997 (Wiley Series in Probability and Statistics)

Name: Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators: Theory and Practice: 997 (Wiley Series in Probability and Statistics)
Brand: Wiley
Price: 47.98 GBP
Availability: InStock

Functional Analysis

Same price for 5 weeks. Today is much like next week.

£48 for 38 days straight · last change was Jan 2026

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 635 days • 635 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 635 days • 5 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £56-66 (308 days, 48.5%)

Price range: £17 - £66

Price levels: 5 price ranges over 635 days

Description

Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators provides a uniquely broad compendium of the key mathematical concepts and results that are relevant for the theoretical development of functional data analysis (FDA). The self–contained treatment of selected topics of functional analysis and operator theory includes reproducing kernel Hilbert spaces, singular value decomposition of compact operators on Hilbert spaces and perturbation theory for both self–adjoint and non self–adjoint operators. The probabilistic foundation for FDA is described from the perspective of random elements in Hilbert spaces as well as from the viewpoint of continuous time stochastic processes. Nonparametric estimation approaches including kernel and regularized smoothing are also introduced. These tools are then used to investigate the properties of estimators for the mean element, covariance operators, principal components, regression function and canonical correlations. A general treatment of canonical correlations in Hilbert spaces naturally leads to FDA formulations of factor analysis, regression, MANOVA and discriminant analysis. This book will provide a valuable reference for statisticians and other researchers interested in developing or understanding the mathematical aspects of FDA. It is also suitable for a graduate level special topics course.

Product Specifications

Brand: Wiley
Format: hardcover
ASIN: 0470016914
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Mathematical Analysis > Functional Analysis
Domain: Amazon UK
Release Date: 29 April 2015
Listed Since: 08 May 2007

Barcode

No barcode data available

Wiley Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators: Theory and Practice: 997 (Wiley Series in Probability and Statistics)

Same price for 5 weeks. Today is much like next week.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Multivariate Analysis (Wiley Series in Probability and Statistics)

Matrix-Based Introduction to Multivariate Data Analysis

Functional Data Analysis (Springer Series in Statistics)

Springer Matrix-Based Introduction to Multivariate Data Analysis

Statistical Foundations of Data Science (Chapman & Hall/CRC Data Science Series)

Methods for Statistical Data Analysis of Multivariate Observations: 321 (Wiley Series in Probability and Statistics)

Matrix-Based Introduction to Multivariate Data Analysis

Functional Data Analysis (Springer Series in Statistics)

The Oxford Handbook of Functional Data Analysis

Mathematical Foundations for Data Analysis (Springer Series in the Data Sciences)

Mathematical Foundations for Data Analysis (Springer Series in the Data Sciences)

Practical Guide To Principal Component Methods in R: Volume 2 (Multivariate Analysis)

Foundations of Data Science

Multivariate Reduced-Rank Regression: Theory, Methods and Applications: 225 (Lecture Notes in Statistics, 225)

A Computational Approach to Statistical Learning (Chapman & Hall/CRC Texts in Statistical Science)

Perspectives on Big Data Analysis: Methodologies and Applications: International Workshop on Perspectives on High-Dimension Data Anlaysis II, May ... Quebec, Canada (Contemporary Mathematics)

Applied Multivariate Statistical Analysis

Introduction to Multivariate Analysis (Science Paperbacks)

Generalized Principal Component Analysis: 40 (Interdisciplinary Applied Mathematics, 40)

Functional Data Analysis with R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Analysis of Multivariate and High-Dimensional Data: Series Number 32 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 32)

Multivariate Statistical Methods: A Primer

Introduction to Multivariate Analysis: Linear and Nonlinear Modeling (Chapman & Hall/CRC Texts in Statistical Science)

Basics of Matrix Algebra for Statistics with R (Chapman & Hall/CRC The R Series)