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

£102.70

Springer Functional and Shape Data Analysis (Springer Series in Statistics)

Name: Functional and Shape Data Analysis (Springer Series in Statistics)
Brand: Springer
Price: 109.99 GBP
Availability: InStock

Engineering Physics

Price History & Forecast

Last 33 days • 33 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 33 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £106 (17 days, 51.5%)

Price range: £103 - £110

Price levels: 3 different prices over 33 days

Description

This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in analysis in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. The interdisciplinary nature of the broad range of ideas covered―from introductory theory to algorithmic implementations and some statistical case studies―is meant to familiarize graduate students with an array of tools that are relevant in developing computational solutions for shape and related analyses. These tools, gleaned from geometry, algebra, statistics, and computational science, are traditionally scattered across different courses, departments, and disciplines; Functional and Shape Data Analysis offers a unified, comprehensive solution by integrating the registration problem into shape analysis, better preparing graduate students for handling future scientific challenges. Recently, a data-driven and application-oriented focus on shape analysis has been trending. This text offers a self-contained treatment of this new generation of methods in shape analysis of curves. Its main focus is shape analysis of functions and curves―in one, two, and higher dimensions―both closed and open. It develops elegant Riemannian frameworks that provide both quantification of shape differences and registration of curves at the same time. Additionally, these methods are used for statistically summarizing given curve data, performing dimension reduction, and modeling observed variability. It is recommended that the reader have a background in calculus, linear algebra, numerical analysis, and computation.

Product Specifications

Brand: Springer
Format: Hardcover
ASIN: 149394018X
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Engineering Physics
Domain: Amazon UK
Release Date: 03 October 2016
Listed Since: 31 March 2016

Barcode

No barcode data available

Springer Functional and Shape Data Analysis (Springer Series in Statistics)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Functional and Shape Data Analysis (Springer Series in Statistics)

Functional Data Analysis (Springer Series in Statistics)

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

The Oxford Handbook of Functional Data Analysis

The Statistical Theory of Shape (Springer Series in Statistics)

Statistical Shape Analysis: With Applications in R: 995 (Wiley Series in Probability and Statistics)

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

Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration (Mathematics and Visualization)

Mathematical Principles of Topological and Geometric Data Analysis: 2 (Mathematics of Data, 2)

Springer Inference for Functional Data with Applications Book

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

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

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

CRC Press Introduction to Functional Data Analysis Textbook

Mathematical Principles of Topological and Geometric Data Analysis: 2 (Mathematics of Data, 2)

3D Shape Analysis: Fundamentals, Theory, and Applications

Spectral Geometry of Shapes: Principles and Applications (Computer Vision and Pattern Recognition)

Algorithmic Advances in Riemannian Geometry and Applications: For Machine Learning, Computer Vision, Statistics, and Optimization (Advances in Computer Vision and Pattern Recognition)

Shape Classification and Analysis: Theory and Practice, Second Edition (Image Processing Series)

Functional Data Analysis (Springer Series in Statistics)

Gaussian Process Regression Analysis for Functional Data

Geometric Modeling in Probability and Statistics

Mathematics Of Shapes And Applications (Lecture Notes Series, Institute for Mathematical Sciences, National University of Singapore): 37

Shape Analysis and Structuring (Mathematics and Visualization)