Langue: anglais
Edité par Oxford University Press, 2017
ISBN 10 : 0198808259 ISBN 13 : 9780198808251
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
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Ajouter au panierPaperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Langue: anglais
Edité par Oxford University Press, 2017
ISBN 10 : 0198808259 ISBN 13 : 9780198808251
Vendeur : clickgoodwillbooks, Indianapolis, IN, Etats-Unis
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Langue: anglais
Edité par Oxford University Press, 2017
ISBN 10 : 0198808259 ISBN 13 : 9780198808251
Vendeur : WeBuyBooks, Rossendale, LANCS, Royaume-Uni
EUR 34,06
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Ajouter au panierEtat : Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.
Langue: anglais
Edité par Oxford University Press, 2017
ISBN 10 : 0198808259 ISBN 13 : 9780198808251
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 68,51
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.
EUR 82,28
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 360 pages. 9.50x6.50x0.50 inches. In Stock.
Langue: anglais
Edité par Oxford University Press, 2017
ISBN 10 : 0198782934 ISBN 13 : 9780198782933
Vendeur : College Campus, North Fort Myers, FL, Etats-Unis
EUR 98,74
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Ajouter au panierEtat : Good. Used Item. Does not include New Access Codes , Cd's or one time use items that come when New. This item is Used.
Langue: anglais
Edité par Oxford University Press, 2017
ISBN 10 : 0198782934 ISBN 13 : 9780198782933
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 112,94
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Oxford University Press, 2017
ISBN 10 : 0198782934 ISBN 13 : 9780198782933
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 105,53
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Ajouter au panierEtat : New. In.
Langue: anglais
Edité par Oxford University Press, 2017
ISBN 10 : 0198782934 ISBN 13 : 9780198782933
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 120,06
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Oxford University Press, 2017
ISBN 10 : 0198782934 ISBN 13 : 9780198782933
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 105,52
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Oxford University Press, 2017
ISBN 10 : 0198782934 ISBN 13 : 9780198782933
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 121,20
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Oxford University Press, GB, 2017
ISBN 10 : 0198782934 ISBN 13 : 9780198782933
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 154,62
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Ajouter au panierHardback. Etat : New. 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. It joins the chorus of voices recommending 'getting to know your data' as an essential preliminary evidentiary step in modelling. Time series are often highly fluctuating with a random appearance. Observed volatility is commonly attributed to exogenous random shocks to stable real-world systems. However, breakthroughs in nonlinear dynamics raise another possibility: highly complex dynamics can emerge endogenously from astoundingly parsimonious deterministic nonlinear models. Nonlinear Time Series Analysis (NLTS) is a collection of empirical tools designed to aid practitioners detect whether stochastic or deterministic dynamics most likely drive observed complexity. Practitioners become 'data detectives' accumulating hard empirical evidence supporting their modelling approach.This book is targeted to professionals and graduate students in engineering and the biophysical and social sciences. Its major objectives are to help non-mathematicians - with limited knowledge of nonlinear dynamics - to become operational in NLTS; and in this way to pave the way for NLTS to be adopted in the conventional empirical toolbox and core coursework of the targeted disciplines. Consistent with modern trends in university instruction, the book makes readers active learners with hands-on computer experiments in R code directing them through NLTS methods and helping them understand the underlying logic (please see www.marco.bittelli.com). 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.
EUR 159,20
Quantité disponible : 2 disponible(s)
Ajouter au panierHardcover. Etat : Brand New. 312 pages. 10.00x7.00x0.50 inches. In Stock.
Langue: anglais
Edité par Oxford University Press, GB, 2017
ISBN 10 : 0198782934 ISBN 13 : 9780198782933
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 147,28
Quantité disponible : Plus de 20 disponibles
Ajouter au panierHardback. Etat : New. 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. It joins the chorus of voices recommending 'getting to know your data' as an essential preliminary evidentiary step in modelling. Time series are often highly fluctuating with a random appearance. Observed volatility is commonly attributed to exogenous random shocks to stable real-world systems. However, breakthroughs in nonlinear dynamics raise another possibility: highly complex dynamics can emerge endogenously from astoundingly parsimonious deterministic nonlinear models. Nonlinear Time Series Analysis (NLTS) is a collection of empirical tools designed to aid practitioners detect whether stochastic or deterministic dynamics most likely drive observed complexity. Practitioners become 'data detectives' accumulating hard empirical evidence supporting their modelling approach.This book is targeted to professionals and graduate students in engineering and the biophysical and social sciences. Its major objectives are to help non-mathematicians - with limited knowledge of nonlinear dynamics - to become operational in NLTS; and in this way to pave the way for NLTS to be adopted in the conventional empirical toolbox and core coursework of the targeted disciplines. Consistent with modern trends in university instruction, the book makes readers active learners with hands-on computer experiments in R code directing them through NLTS methods and helping them understand the underlying logic (please see www.marco.bittelli.com). 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.
Langue: anglais
Edité par Oxford University Press, 2017
ISBN 10 : 0198808259 ISBN 13 : 9780198808251
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
EUR 53,56
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par Oxford University Press, 2017
ISBN 10 : 0198808259 ISBN 13 : 9780198808251
Vendeur : moluna, Greven, Allemagne
EUR 62,27
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.Nonlinear Time Series Analysis with R provide.
Langue: anglais
Edité par Oxford University Press, 2017
ISBN 10 : 0198782934 ISBN 13 : 9780198782933
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
EUR 105,39
Quantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par Oxford University Press, 2017
ISBN 10 : 0198782934 ISBN 13 : 9780198782933
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 129,59
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Ajouter au panierHardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.