Dynamic Data Analysis

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  • Dynamic Data Analysis Book Detail

  • Author : James Ramsay
  • Release Date : 2017-06-27
  • Publisher : Springer
  • Genre : Mathematics
  • Pages : 242
  • ISBN 13 : 1493971905
  • File Size : 61,61 MB

Dynamic Data Analysis by James Ramsay PDF Summary

Book Description: 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

Dynamic Data Analysis

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This text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis

Compstat

Compstat

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This COMPSTAT 2002 book contains the Keynote, Invited, and Full Contributed papers presented in Berlin, August 2002. A companion volume including Short Communic

Functional Data Analysis

Functional Data Analysis

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Included here are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modelling, and canonical cor