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Predictability and Nonlinear Modelling in Natural Sciences and Economics

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Cover of 'Predictability and Nonlinear Modelling in Natural Sciences and Economics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Karl Popper and the Accountability of Scientific Models
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    Chapter 3 Evaluation of Forecasts
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    Chapter 4 The Liouville Equation and Prediction of Forecast Skill
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    Chapter 5 An Improved Formula to Describe Error Growth in Meteorological Models
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    Chapter 6 Searching for Periodic Motions in Long-Time Series
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    Chapter 7 Comparison Study of the Response of the Climate System to Major Volcanic Eruptions and El Niño Events
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    Chapter 8 Detection of a Perturbed Equator-Pole Temperature Gradient in a Spectral Model of the Atmospheric Circulation
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    Chapter 9 A Simple Two-Dimensional Climate Model with Ocean and Atmosphere Coupling
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    Chapter 10 Climate Modelling at Different Scales of Space
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    Chapter 11 Simulation of Effects of Climatic Change on Cauliflower Production
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    Chapter 12 Validation of Large Scale Process-Oriented Models for Managing Natural Resource Populations: A Case Study
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    Chapter 13 Uncertainty of Predictions in Supervised Pest Control in Winter Wheat: Its Price and Causes
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    Chapter 14 The Implications and Importance of Non-Linear Responses in Modelling the Growth and Development of Wheat
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    Chapter 15 Growth Curve Analysis of Sedentary Plant Parasitic Nematodes in Relation to Plant Resitance and Tolerance
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    Chapter 16 Using Chaos to Understand Biological Dynamics
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    Chapter 17 Qualitative Analysis of Unpredictability: A Case Study from Childhood Epidemics
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    Chapter 18 Control and Prediction in Seasonally Driven Population Models
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    Chapter 19 Simple Theoretical Models and Population Predictions
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    Chapter 20 Individual Based Population Modelling
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    Chapter 21 Ecological Systems are Not Dynamic Systems: Some Consequences of Individual Variability
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    Chapter 22 Spatio-Temporal Organization Mediated by a Hierarchy in Time Scales in Ensembles of Predator-Prey Pairs
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    Chapter 23 Continental Expansion of Plant Disease: A Survey of Some Recent Results
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    Chapter 24 Modeling of Fish Behavior
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    Chapter 25 Understanding Uncertain Environmental Systems
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    Chapter 26 System Identification by Approximate Realization
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    Chapter 27 Sensitivity Analysis Versus Uncertainty Analysis: When to Use What?
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    Chapter 28 Monte Carlo Estimation of Uncertainty Contributions from Several Independent Multivariate Sources
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    Chapter 29 Assessing Sensitivities and Uncertainties in Models: A Critical Evaluation
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    Chapter 30 UNCSAM: A Software Tool for Sensitivity and Uncertainty Analysis of Mathematical Models
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    Chapter 31 Set-Membership Identification of Non-Linear Conceptual Models
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    Chapter 32 Parameter Sensitivity and the Quality of Model Predictions
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    Chapter 33 Towards a Metrics for Simulation Model Validation
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    Chapter 34 Use of a Fourier Decomposition Technique in Aquatic Ecosystems Modelling
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    Chapter 35 Multiobjective Inverse Problems with Ecological and Economical Motivations
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    Chapter 36 An Expert-Opinion Approach to the Prediction Problem in Complex Systems
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    Chapter 37 Critical Loads and a Dynamic Assessment of Ecosystem Recovery
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    Chapter 38 Uncertainty Analysis on Critical Loads for Forest Soils in Finland
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    Chapter 39 Monte-Carlo Simulations in Ecological Risk Assessment
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    Chapter 40 Sensitivity Analysis of a Model for Pesticide Leaching and Accumulation
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    Chapter 41 Bayesian Uncertainty Analysis in Water Quality Modelling
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    Chapter 42 Modelling Dynamics of Air Pollution Dispersion in Mesoscale
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    Chapter 43 Uncertainty Factors Analysis in Linear Water Quality Models
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    Chapter 44 Uncertainty Analysis and Risk Assessment Combined: Application to a Bioaccumulation Model
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    Chapter 45 Diagnosis of Model Applicability by Identification of Incompatible Data Sets Illustrated on a Pharmacokinetic Model for Dioxins in Mammals
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    Chapter 46 Regional Calibration of a Steady-State Model to Assess Critical Acid Loads
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    Chapter 47 Uncertainty Analysis for the Computation of Greenhouse Gas Concentrations in IMAGE
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    Chapter 48 Forecast Uncertainty in Economics
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    Chapter 49 Some Aspects of Nonlinear Discrete-Time Descriptor Systems in Economics
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    Chapter 50 Quasi-Periodic and Strange, Chaotic Attractors in Hick’s Nonlinear Trade Cycle Model
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    Chapter 51 Monte Carlo Experimentation for Large Scale Forward-Looking Economic Models
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    Chapter 52 Erratic Dynamics in a Restricted Tatonnement Process with Two and Three Goods
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    Chapter 53 Chaotic Dynamics in a Two-Dimensional Overlapping Generation Model: A Numerical Investigation
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    Chapter 54 Nonlinearity and Forecasting Aspects of Periodically Integrated Autoregressions
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    Chapter 55 Classical and Modified Rescaled Range Analysis: Some Evidence
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Title
Predictability and Nonlinear Modelling in Natural Sciences and Economics
Published by
Springer Netherlands, December 2012
DOI 10.1007/978-94-011-0962-8
ISBNs
978-9-40-104416-5, 978-9-40-110962-8
Editors

Grasman, J., Straten, G.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Ireland 1 3%
France 1 3%
Switzerland 1 3%
Unknown 29 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 33%
Student > Master 7 21%
Researcher 5 15%
Student > Doctoral Student 3 9%
Professor 2 6%
Other 3 9%
Unknown 2 6%
Readers by discipline Count As %
Engineering 13 39%
Environmental Science 6 18%
Agricultural and Biological Sciences 3 9%
Earth and Planetary Sciences 3 9%
Mathematics 1 3%
Other 5 15%
Unknown 2 6%