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Predictability and Nonlinear Modelling in Natural Sciences and Economics

Researchers in the natural sciences are faced with problems that require a novel approach to improve the quality of forecasts of processes;

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Modelling Evolution

Evolution by natural selection explains the tree of life and the complex adaptations found throughout nature. The power and versatility;

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Modelling Evolution

Evolution by natural selection explains the tree of life and the complex adaptations found throughout nature. The power and versatility;

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Mathematical Modelling

Mathematical models are used not only in the natural sciences and engineering disciplines, but also in the social sciences. This book;

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Mathematical Modelling in Health, Social and Applied Sciences

-sciences, health, and social issues. It includes topics such as model on viral immunology, stochastic models for the dynamics of influenza, model;

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Modelling and Simulation in Management Sciences

to fuzzy logic, soft computing and uncertainty, as well as a number of papers in the field of bibliometrics in social sciences. Presenting;

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Predictability of Chaotic Dynamics

underlying physics provide the simulated models, nonlinear dynamics provides their chaoticity and instability properties, and the computer sciences;

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Nonlinear Economic Dynamics and Financial Modelling

This book reflects the state of the art on nonlinear economic dynamics, financial market modelling and quantitative finance. It contains;

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Dynamical Systems and Ergodic Theory at Saint-Flour

natural sciences but also in finance and economics. Their mathematical theory, however, is challenging, and hence diffusion modelling is often;

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Inference for Diffusion Processes

natural sciences but also in finance and economics. Their mathematical theory, however, is challenging, and hence diffusion modelling is often;

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Bayesian Methods for Nonlinear Classification and Regression

Classification and Regression is the first book to bring together, in a consistent statistical framework, the ideas of nonlinear modelling and Bayesian;

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Machine Learning Methods in the Environmental Sciences

Machine learning methods originated from artificial intelligence and are now used in various fields in environmental sciences today. This;

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Machine Learning Methods in the Environmental Sciences

Machine learning methods originated from artificial intelligence and are now used in various fields in environmental sciences today. This;

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Nonlinear Economic Models Crosssectional, Time Series and Neural Network Applications

Nonlinear modelling has become increasingly important and widely used in economics. This valuable book brings together recent advances;

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Nonlinear Systems and Their Remarkable Mathematical Structures: Volume 1

natural sciences, and engineering sciences, as well as for researchers (both pure and applied) interested in nonlinear systems. The common theme;

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Nonlinear Systems and Their Remarkable Mathematical Structures

in mathematics, the natural sciences, and engineering sciences, as well as for researchers (both pure and applied) interested in nonlinear systems. The;

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Spatial Modelling of the Terrestrial Environment

natural and human environmental sciences issues, focusing on the theory and application of modelling remotely sensed data within the context;

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Nonlinear Functional Analysis and Its Applications IV

The fourth of a five-volume exposition of the main principles of nonlinear functional analysis and its applications to the natural sciences;

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Growth Theory, Nonlinear Dynamics and Economic Modelling

and instability in economic systems. The articles selected reflect his best work and are indicative both of the type of policy problem that he;

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Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data

sciences. The editors have brought together constructive work on new practical examples of methods and application built on nonlinear dynamics;

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Nonlinear Modelling of High Frequency Financial Time Series

Nonlinear Modelling of High Frequency Financial Time Series Edited by Christian Dunis and Bin Zhou In the competitive and risky environment;

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Recent Advances in Nonlinear Dynamics and Synchronization

This book focuses on modelling and simulation, control and optimization, signal processing, and forecasting in selected nonlinear dynamical;

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From Complexity in the Natural Sciences to Complexity in Operations Management Systems

, the approaches developed in the Natural Sciences and the results obtained over the past century have not yet permeated Management Sciences;

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Nonlinear Dynamics and Statistics

uncertainty and error: the predictability of nonlinear systems * achieving good nonlinear models * delay reconstructions: dynamics vs;

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Nonlinear Climate Dynamics

, predictability studies and data assimilation methods. Early chapters apply the stochastic dynamical systems framework to a hierarchy of climate models to;

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A Concrete Approach To Mathematical Modelling

-Gibbons shows how the modelling process works and includes fascinating examples from virtually every realm of human, machine, natural, and cosmic;

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Mathematical Modelling, Nonlinear Control and Performance Evaluation of a Ground Based Mobile Air Defence System

In this book, the author deals with the mathematical modelling, nonlinear control and performance evaluation of a conceptual anti-aircraft;

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