Predictability and Nonlinear Modelling in Natural Sciences and Economics - Rilegato

Rilegato

ISBN 10: 0792329430 ISBN 13: 9780792329435

Casa editrice: Kluwer Academic Publishers, 1994

Riassunto

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.

Su questo libro

Contenuti

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

Product Description

Book by None

Dettagli dell'edizione

• 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; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; 22391; Germania