Predictability and Nonlinear Modelling in Natural Sciences and Economics - Rilegato

 
9780792329435: Predictability and Nonlinear Modelling in Natural Sciences and Economics
Rilegato
ISBN 10: 0792329430 ISBN 13: 9780792329435
Casa editrice: Kluwer Academic Publishers, 1994

Sinossi

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.

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Contenuti

Introduction. 1: Geophysics. 2: Agriculture. 3: Population Biology. 4: Systems Sciences. 5: Environmental Sciences. 6: Economics. Subject Index.

Product Description

Book by None

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Editore
Kluwer Academic Publishers
Data di pubblicazione
1994
Lingua
Inglese
ISBN 10 
0792329430
ISBN 13 
9780792329435
Rilegatura
Copertina rigida
Numero di pagine
664
Redattore
Grasman J., Straten James G. Van, Van Straten G.
Contatto del produttore
Elevation
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Friedrich-Karl-Str. 9
Hamburg
22391
Germania

Altre edizioni note dello stesso titolo

9789401044165: Predictability and Nonlinear Modelling in Natural Sciences and Economics

Edizione in evidenza

ISBN 10:  9401044163 ISBN 13:  9789401044165
Casa editrice: Springer, 2012
Brossura