Functional Data Analysis (Springer Series in Statistics) - Image 1

£179.99

Springer Functional Data Analysis (Springer Series in Statistics)

Name: Functional Data Analysis (Springer Series in Statistics)
Brand: Springer
Price: 179.99 GBP
Availability: InStock

Probability & Statistics

Price History & Forecast

Last 22 days • 22 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 22 days • 1 price levels

Days at Price

Price Analysis

Most common price: £180 (22 days, 100.0%)

Price range: £180 - £180

Price levels: 1 different prices over 22 days

Description

Scientists and others today often collect samples of curves and other functional observations. This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modeling, and canonical correlation analysis, as well as specifically functional techniques such as curve registration and principal differential analysis. Data arising in real applications are used throughout for both motivation and illustration, showing how functional approaches allow us to see new things, especially by exploiting the smoothness of the processes generating the data. The data sets exemplify the wide scope of functional data analysis; they are drawn from growth analysis, meteorology, biomechanics, equine science, economics, and medicine. The book presents novel statistical technology, much of it based on the authors’ own research work, while keeping the mathematical level widely accessible. It is designed to appeal to students, to applied data analysts, and to experienced researchers; it will have value both within statistics and across a broad spectrum of other fields. This second edition is aimed at a wider range of readers, and especially those who would like to apply these techniques to their research problems. It complements the authors' other volume Applied Functional Data Analysis: Methods and Case Studies. In particular, there is an extended coverage of data smoothing and other matters arising in the preliminaries to a functional data analysis. The chapters on the functional linear model and modeling of the dynamics of systems through the use of differential equations and principal differential analysis have been completely rewritten and extended to include new developments. Other chapters have been revised substantially, often to give more weight to examples and practical considerations.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 038740080X
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Probability & Statistics
Domain: Amazon UK
Release Date: 08 June 2005
Listed Since: 22 December 2006

Barcode

No barcode data available

Springer Functional Data Analysis (Springer Series in Statistics)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Functional Data Analysis (Springer Series in Statistics)

Nonparametric Functional Data Analysis: Theory and Practice (Springer Series in Statistics)

Functional and Shape Data Analysis (Springer Series in Statistics)

Functional and Shape Data Analysis (Springer Series in Statistics)

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

The Oxford Handbook of Functional Data Analysis

Springer Inference for Functional Data with Applications Book

Applied Multivariate Data Analysis: Volume II: Categorical and Multivariate Methods (Springer Texts in Statistics)

Recent Advances in Functional Data Analysis and Related Topics (Contributions to Statistics)

CRC Press Introduction to Functional Data Analysis Textbook

Analysis of Variance for Functional Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Dynamic Data Analysis: Modeling Data with Differential Equations (Springer Series in Statistics)

Analysis of Microdata

Elements of Nonlinear Time Series Analysis and Forecasting (Springer Series in Statistics)

Gaussian Process Regression Analysis for Functional Data

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

An Introduction to Statistical Data Science: Theory and Models

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Nonlinear Time Series: Nonparametric and Parametric Methods (Springer Series in Statistics)

Statistical Analysis of Financial Data in R (Springer Texts in Statistics)

Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics)

Data Science and Machine Learning: Mathematical and Statistical Methods, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

The Design and Analysis of Computer Experiments (Springer Series in Statistics)

Statistical Analysis of Financial Data in R (Springer Texts in Statistics)