Dynamic Data Analysis is popular PDF and ePub book, written by James Ramsay in 2017-06-27, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Dynamic Data Analysis can be Read Online from any device for your convenience.
Dynamic Data Analysis Book PDF Summary
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.
Detail Book of Dynamic Data Analysis PDF
- Author : James Ramsay
- Release : 27 June 2017
- Publisher : Springer
- ISBN : 9781493971909
- Genre : Mathematics
- Total Page : 242 pages
- Language : English
- PDF File Size : 20,5 Mb
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