Dynamic Data Analysis

Name: Dynamic Data Analysis
Brand: Springer-Verlag New York Inc.
SKU: 9781493984121
Price: 158.03 EUR
Availability: InStock

Modeling Data with Differential Equations

Автор: James Ramsay, Giles Hooker

Език:

Корици: С меки корици

Издател: Springer-Verlag New York Inc.

Наличност: Външен склад

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This text focuses on the use of smoothing methods for developing and estimating differential equatio...

Информация за книгата

Автор

James Ramsay, Giles Hooker

Език

Английски език

Корици

Книга - С меки корици

Издадена

2018

страници

230

EAN

9781493984121

Enbook ID

20121600

Издател

Springer-Verlag New York Inc.

Теглоt

454

Размери

155 x 235 x 14

Пълно описание

This text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on techniques described in Ramsay and Silverman (2005) Functional Data Analysis. The central concept of a dynamical system as a buffer that translates sudden changes in input into smooth controlled output responses has led to applications of previously analyzed data, opening up entirely new opportunities for dynamical systems. The technical level has been kept low so that those with little or no exposure to differential equations as modeling objects can be brought into this data analysis landscape. There are already many texts on the mathematical properties of ordinary differential equations, or dynamic models, and there is a large literature distributed over many fields on models for real world processes consisting of differential equations. However, a researcher interested in fitting such a model to data, or a statistician interested in the properties of differential equations estimated from data will find rather less to work with. This book fills that gap.

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Dynamic Data Analysis

Modeling Data with Differential Equations

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