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Nonlinear Time Series Analysis with R
Language: English
Published by Oxford University Press, 2017
ISBN 10: 0198808259 ISBN 13: 9780198808251
Paperback. Condition: 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!
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Nonlinear Time Series Analysis with R
Language: English
Published by Oxford University Press, 2017
ISBN 10: 0198808259 ISBN 13: 9780198808251
Condition: acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.
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Plant Senescence: Its Biochemistry and Physiology (Proceedings of the Tenth Annual Symposium in Plant Physiology)
Language: English
Published by American Society of Plant Physiologists, Rockville, 1987
ISBN 10: 0943088100 ISBN 13: 9780943088105
First Edition
Soft cover. Condition: Very Good. 1st Edition. Brown softcover in great shape. No underlining or highlighting, pages clean and bright. Binding solid, sturdy. Only light signs of use, without any major blemishes. Scarce scientific monograph. 255 pp. Each book is checked by a real-life bookseller, and is guaranteed to be as described. Ships from Ottawa, Ontario, Canada. Thanks!
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Nonlinear Time Series Analysis with R
Language: English
Published by Oxford University Press, 2017
ISBN 10: 0198808259 ISBN 13: 9780198808251
Condition: 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.
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US$ 95.94
US$ 16.84 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Brand New. 360 pages. 9.50x6.50x0.50 inches. In Stock.
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Nonlinear Time Series Analysis R [] Huffaker, Ray Bittelli, Marco and Rosa, Rodolfo
Language: English
Published by Oxford University Press, 2017
ISBN 10: 0198782934 ISBN 13: 9780198782933
Condition: Good. Used Item. Does not include New Access Codes , Cd's or one time use items that come when New. This item is Used.
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Nonlinear Time Series Analysis With R
Language: English
Published by Oxford University Press, 2017
ISBN 10: 0198782934 ISBN 13: 9780198782933
Condition: New.
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Nonlinear Time Series Analysis with R
Language: English
Published by Oxford University Press, 2017
ISBN 10: 0198782934 ISBN 13: 9780198782933
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 123.04
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Nonlinear Time Series Analysis With R
Language: English
Published by Oxford University Press, 2017
ISBN 10: 0198782934 ISBN 13: 9780198782933
Condition: As New. Unread book in perfect condition.
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Nonlinear Time Series Analysis With R
Language: English
Published by Oxford University Press, 2017
ISBN 10: 0198782934 ISBN 13: 9780198782933
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 123.03
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Nonlinear Time Series Analysis With R
Language: English
Published by Oxford University Press, 2017
ISBN 10: 0198782934 ISBN 13: 9780198782933
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 141.06
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Add to basketCondition: As New. Unread book in perfect condition.
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Nonlinear Time Series Analysis with R
Language: English
Published by Oxford University Press, GB, 2017
ISBN 10: 0198782934 ISBN 13: 9780198782933
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 175.85
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Add to basketHardback. Condition: 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.
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US$ 186.25
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Add to basketHardcover. Condition: Brand New. 312 pages. 10.00x7.00x0.50 inches. In Stock.
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Nonlinear Time Series Analysis with R
Language: English
Published by Oxford University Press, GB, 2017
ISBN 10: 0198782934 ISBN 13: 9780198782933
US$ 171.72
US$ 87.55 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: 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.
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Nonlinear Time Series Analysis with R (eng)
Language: English
Published by Oxford University Press, 2017
ISBN 10: 0198808259 ISBN 13: 9780198808251
Condition: new. Questo è un articolo print on demand.
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Nonlinear Time Series Analysis with R
Language: English
Published by Oxford University Press, 2017
ISBN 10: 0198808259 ISBN 13: 9780198808251
Condition: 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.
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Nonlinear Time Series Analysis with R (eng)
Language: English
Published by Oxford University Press, 2017
ISBN 10: 0198782934 ISBN 13: 9780198782933
Condition: new. Questo è un articolo print on demand.
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Nonlinear Time Series Analysis with R
Language: English
Published by Oxford University Press, 2017
ISBN 10: 0198782934 ISBN 13: 9780198782933
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 151.10
US$ 27.45 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
