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Nonlinear Time Series Analysis with R

Ray G. Huffaker

4.9/5 (10207 ratings)

Description:Nonlinear Time Series Analysis with R provides a practical guide to emerging empirical techniques allowing practitioners to diagnose whether highly fluctuating and random appearing data are most likely driven by random or deterministic dynamic forces. Practitioners become 'data detectives' accumulating hard empirical evidence supporting their choice of a modelling approach corresponding to reality. The book is targeted to non-mathematicians with limitedknowledge of nonlinear dynamics; in particular, professionals and graduate students in engineering and the biophysical and social sciences. The book makes readers active learners with hands-on computerexperiments in R code directing them through Nonlinear Time Series Analysis (NLTS). The computer code is explained in detail so that readers can adjust it for use in their own work. The book also provides readers with an explicit framework--condensed from sound empirical practices recommended in the literature--that details a step-by-step procedure for applying NLTS in real-world data diagnostics.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Nonlinear Time Series Analysis with R. To get started finding Nonlinear Time Series Analysis with R, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 371

Format: PDF, EPUB & Kindle Edition

Publisher: Oxford University Press

Release: 2017

ISBN: H2Dmuknx

Description: Nonlinear Time Series Analysis with R provides a practical guide to emerging empirical techniques allowing practitioners to diagnose whether highly fluctuating and random appearing data are most likely driven by random or deterministic dynamic forces. Practitioners become 'data detectives' accumulating hard empirical evidence supporting their choice of a modelling approach corresponding to reality. The book is targeted to non-mathematicians with limitedknowledge of nonlinear dynamics; in particular, professionals and graduate students in engineering and the biophysical and social sciences. The book makes readers active learners with hands-on computerexperiments in R code directing them through Nonlinear Time Series Analysis (NLTS). The computer code is explained in detail so that readers can adjust it for use in their own work. The book also provides readers with an explicit framework--condensed from sound empirical practices recommended in the literature--that details a step-by-step procedure for applying NLTS in real-world data diagnostics.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Nonlinear Time Series Analysis with R. To get started finding Nonlinear Time Series Analysis with R, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Nonlinear Time Series Analysis with R

Nonlinear Time Series Analysis with R

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