Predictability and Nonlinear Modelling in Natural Sciences and Economics / edited by J. Grasman, G. Straten.

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 p...

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Bibliographic Details
Online Access: Full Text (via ProQuest)
Main Author: Grasman, J.
Other Authors: Straten, G.
Format: eBook
Language:English
Published: Dordrecht : Springer Netherlands : Imprint : Springer, 1994.
Subjects:
Table of Contents:
  • 1. Geophysics
  • Karl Popper and the accountability of scientific models
  • Evaluation of forecasts
  • The Liouville equation and prediction of forecast skill
  • An improved formula to describe error growth in meteorological models
  • Searching for periodic motions in long-time series
  • Comparison study of the response of the climate system to major volcanic eruptions and el nino events
  • Detection of a pertubed equator-pole temperature gradient in a spectral model of the atmospheric circulation
  • A simple two-dimensional climate model with ocean and atmosphere coupling
  • Climate modelling at different scales of space
  • 2. Agriculture
  • Simulation of effects of climatic change on cauliflower production
  • Validation of large scale process-oriented models for managing natural resource populations: a case study
  • Uncertainty of predictions in supervised pest control in winter wheat, its price and its causes
  • The implications and importance of non-linear responses in modelling the growth and development of wheat
  • Growth curve analysis of sedentary plant parasitic nematodes in relation to plant resistance and tolerance
  • 3. Population Biology
  • Using chaos to understand biological dynamics
  • Qualitative analysis of unpredictability: a case study from childhood epidemics
  • Control and prediction in seasonally driven population models
  • Simple theoretical models and population predictions
  • Individual based population modelling
  • Ecological systems are not dynamical systems: some consequences of individual variability
  • Spatio-temporal organization mediated by hierarchy in time scales in ensembles of predator-prey pairs
  • Continental expansion of plant disease: a survey of some recent results
  • Modelling of fish behavior
  • 4. Systems sciences
  • Understanding uncertain environmental systems
  • System identification by approximate realization
  • Sensitivity analysis versus uncertainty analysis: when to use what?
  • Monte Carlo estimation of uncertainty contributions from several independent multivariate sources
  • Assessing sensitivities and uncertainties in models: a critical evaluation
  • UNCSAM: a software tool for sensitivity and uncertainty analysis of mathematical models
  • Set-membership identification of nonlinear conceptual models
  • Parameter sensitivity and the quality of model predictions
  • Towards a metrics for simulation model validation
  • Use of a Fourier decomposition technique in aquatic ecosystems modelling
  • Multiobjective inverse problems with ecological and economical motivations
  • An expert-opinion approach to the prediction problem in complex systems
  • 5. Environmental Sciences
  • Critical loads and a dynamic assessment of ecosystem recovery
  • Uncertainty analysis on critical loads for forest soils in Finland
  • Monte Carlo simulations in ecological risk assessment
  • Sensitivity analysis of a model for pesticide leaching and accumulation
  • Bayesian uncertainty analysis in water quality modelling
  • Modelling dynamics of air pollution dispersion in mesoscale
  • Uncertainty factors analysis in linear water quality models
  • Uncertainty analysis and risk assessment combined: application to a bioaccumulation model
  • Diagnosis of model applicability by identification of incompatible data sets illustrated on a pharmacokinetic model for dioxins in mamals
  • Regional calibration of a steady state model to assess critical acid loads
  • Uncertainty analysis for the computation of greenhouse gas concentrations in IMAGE
  • 6. Economics
  • Forecast uncertainty in economics
  • Some aspects of nonlinear discrete-time descriptor systems in economics
  • Quasi-periodic and strange, chaotic attractors in Hick's nonlinear trade cycle model
  • Monte Carlo experimentation for large scale forward-looking economic models
  • Erratic dynamics in a restricted tatonnement process with two and three goods
  • Chaotic dynamics in a two-dimensional overlapping generation model: a numerical investigation
  • Nonlinearity and forecasting aspects of periodically integrated autoregressions
  • Classical and modified resealed range analysis: some evidence.