Predictability nonlinear modelling natural (23 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2012

    9401044163 / 9789401044165

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  • Lingua: Inglese

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    Condizione: As New. Unread book in perfect condition.

  • Lingua: Inglese

    Editore: Springer 1994-06-30, 1994

    9401044163 / 9789401044165

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    Paperback. Condizione: New.

  • Lingua: Inglese

    Editore: Springer, 2012

    9401044163 / 9789401044165

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Springer, 2012

    9401044163 / 9789401044165

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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  • Lingua: Inglese

    Editore: Springer, 2012

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  • Lingua: Inglese

    Editore: Kluwer Academic Publishers, 1994

    0792329430 / 9780792329435

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    Da: Anybook.com, Lincoln, Regno UnitoAnybook.com

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    EUR 80,32

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    Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1350grams, ISBN:9780792329435.

  • Lingua: Inglese

    Editore: Springer, 2012

    9401044163 / 9789401044165

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    Paperback. Condizione: Brand New. 653 pages. 9.45x6.30x1.50 inches. In Stock.

  • Lingua: Inglese

    Editore: Kluwer Academic Publishers, 1994

    0792329430 / 9780792329435

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    Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Springer, Springer, 2012

    9401044163 / 9789401044165

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 80,74

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Researchers in the natural sciences are faced with problems that require a novel approach to improve the quality of forecasts of processes that are sensitive to environmental conditions. Nonlinearity of a system may significantly complicate the predictability of future states: a small variation of parameters can dramatically change the dynamics, while sensitive dependence of the initial state may severely limit the predictability horizon. Uncertainties also play a role. This volume addresses such problems by using tools from chaos theory and systems theory, adapted for the analysis of problems in the environmental sciences. Sensitive dependence on the initial state (chaos) and the parameters are analyzed using methods such as Lyapunov exponents and Monte Carlo simulation. Uncertainty in the structure and the values of parameters of a model is studied in relation to processes that depend on the environmental conditions. These methods also apply to biology and economics. For research workers at universities and (semi)governmental institutes for the environment, agriculture, ecology, meteorology and water management, and theoretical economists.

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    Lingua: Inglese

    Editore: Springer, 2012

    9401044163 / 9789401044165

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    Taschenbuch. Condizione: Neu. Predictability and Nonlinear Modelling in Natural Sciences and Economics | J. Grasman (u. a.) | Taschenbuch | ix | Englisch | 2012 | Springer | EAN 9789401044165 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Lingua: Inglese

    Editore: Kluwer Academic Publishers, US, 1994

    0792329430 / 9780792329435

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    Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA

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    Hardback. Condizione: New. Researchers in the natural sciences are faced with problems that require a novel approach to improve the quality of forecasts of processes that are sensitive to environmental conditions. Nonlinearity of a system may significantly complicate the predictability of future states: a small variation of parameters can dramatically change the dynamics, while sensitive dependence of the initial state may severely limit the predictability horizon. Uncertainties also play a role. This volume addresses such problems by using tools from chaos theory and systems theory, adapted for the analysis of problems in the environmental sciences. Sensitive dependence on the initial state (chaos) and the parameters are analyzed using methods such as Lyapunov exponents and Monte Carlo simulation. Uncertainty in the structure and the values of parameters of a model is studied in relation to processes that depend on the environmental conditions. These methods also apply to biology and economics. This text aims to be suitable for research workers at universities and (semi-) governmental institutes for the environment, agriculture, ecology, meteorology and water management, and theoretical economists.

  • Lingua: Inglese

    Editore: Springer Netherlands|Springer, Berlin, 1994

    0792329430 / 9780792329435

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    Da: moluna, Greven, Germaniamoluna

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    Gebunden. Condizione: New. Researchers in the natural sciences are faced with problems that require a novel approach to improve the quality of forecasts of processes that are sensitive to environmental conditions. Nonlinearity of a system may significantly complicate the predictabili.

  • Lingua: Inglese

    Editore: Kluwer Academic Pub, 1994

    0792329430 / 9780792329435

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    EUR 146,11

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    Hardcover. Condizione: Brand New. 664 pages. 10.00x6.50x1.75 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer, 1994

    0792329430 / 9780792329435

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Researchers in the natural sciences are faced with problems that require a novel approach to improve the quality of forecasts of processes that are sensitive to environmental conditions. Nonlinearity of a system may significantly complicate the predictability of future states: a small variation of parameters can dramatically change the dynamics, while sensitive dependence of the initial state may severely limit the predictability horizon. Uncertainties also play a role. This volume addresses such problems by using tools from chaos theory and systems theory, adapted for the analysis of problems in the environmental sciences. Sensitive dependence on the initial state (chaos) and the parameters are analyzed using methods such as Lyapunov exponents and Monte Carlo simulation. Uncertainty in the structure and the values of parameters of a model is studied in relation to processes that depend on the environmental conditions. These methods also apply to biology and economics. For research workers at universities and (semi)governmental institutes for the environment, agriculture, ecology, meteorology and water management, and theoretical economists.

  • Lingua: Inglese

    Editore: Kluwer Academic Publishers, US, 1994

    0792329430 / 9780792329435

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    Hardback. Condizione: New. Researchers in the natural sciences are faced with problems that require a novel approach to improve the quality of forecasts of processes that are sensitive to environmental conditions. Nonlinearity of a system may significantly complicate the predictability of future states: a small variation of parameters can dramatically change the dynamics, while sensitive dependence of the initial state may severely limit the predictability horizon. Uncertainties also play a role. This volume addresses such problems by using tools from chaos theory and systems theory, adapted for the analysis of problems in the environmental sciences. Sensitive dependence on the initial state (chaos) and the parameters are analyzed using methods such as Lyapunov exponents and Monte Carlo simulation. Uncertainty in the structure and the values of parameters of a model is studied in relation to processes that depend on the environmental conditions. These methods also apply to biology and economics. This text aims to be suitable for research workers at universities and (semi-) governmental institutes for the environment, agriculture, ecology, meteorology and water management, and theoretical economists.

  • Lingua: Inglese

    Editore: Springer, 2012

    9401044163 / 9789401044165

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    Condizione: new. Questo è un articolo print on demand.

  • Lingua: Inglese

    Editore: Springer Netherlands Okt 2012, 2012

    9401044163 / 9789401044165

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Researchers in the natural sciences are faced with problems that require a novel approach to improve the quality of forecasts of processes that are sensitive to environmental conditions. Nonlinearity of a system may significantly complicate the predictability of future states: a small variation of parameters can dramatically change the dynamics, while sensitive dependence of the initial state may severely limit the predictability horizon. Uncertainties also play a role. This volume addresses such problems by using tools from chaos theory and systems theory, adapted for the analysis of problems in the environmental sciences. Sensitive dependence on the initial state (chaos) and the parameters are analyzed using methods such as Lyapunov exponents and Monte Carlo simulation. Uncertainty in the structure and the values of parameters of a model is studied in relation to processes that depend on the environmental conditions. These methods also apply to biology and economics. For research workers at universities and (semi)governmental institutes for the environment, agriculture, ecology, meteorology and water management, and theoretical economists. 664 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer Netherlands, 2012

    9401044163 / 9789401044165

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Researchers in the natural sciences are faced with problems that require a novel approach to improve the quality of forecasts of processes that are sensitive to environmental conditions. Nonlinearity of a system may significantly complicate the predictab.

  • Lingua: Inglese

    Editore: Springer Jun 1994, 1994

    0792329430 / 9780792329435

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Researchers in the natural sciences are faced with problems that require a novel approach to improve the quality of forecasts of processes that are sensitive to environmental conditions. Nonlinearity of a system may significantly complicate the predictability of future states: a small variation of parameters can dramatically change the dynamics, while sensitive dependence of the initial state may severely limit the predictability horizon. Uncertainties also play a role. This volume addresses such problems by using tools from chaos theory and systems theory, adapted for the analysis of problems in the environmental sciences. Sensitive dependence on the initial state (chaos) and the parameters are analyzed using methods such as Lyapunov exponents and Monte Carlo simulation. Uncertainty in the structure and the values of parameters of a model is studied in relation to processes that depend on the environmental conditions. These methods also apply to biology and economics. For research workers at universities and (semi)governmental institutes for the environment, agriculture, ecology, meteorology and water management, and theoretical economists. 664 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer, Springer Okt 2012, 2012

    9401044163 / 9789401044165

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Researchers in the natural sciences are faced with problems that require a novel approach to improve the quality of forecasts of processes that are sensitive to environmental conditions. Nonlinearity of a system may significantly complicate the predictability of future states: a small variation of parameters can dramatically change the dynamics, while sensitive dependence of the initial state may severely limit the predictability horizon. Uncertainties also play a role.This volume addresses such problems by using tools from chaos theory and systems theory, adapted for the analysis of problems in the environmental sciences. Sensitive dependence on the initial state (chaos) and the parameters are analyzed using methods such as Lyapunov exponents and Monte Carlo simulation. Uncertainty in the structure and the values of parameters of a model is studied in relation to processes that depend on the environmental conditions. These methods also apply to biology and economics.For research workers at universities and (semi)governmental institutes for the environment, agriculture, ecology, meteorology and water management, and theoretical economists.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 664 pp. Englisch.

  • Lingua: Inglese

    Editore: Kluwer Academic Publishers, 1994

    0792329430 / 9780792329435

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    Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.