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Non-Linear Time Series

of linear time series is now well established, that of non-linear time series is still a rapidly developing subject. This book, now available;

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Non-Gaussian Autoregressive-Type Time Series

-series models into different groups such as linear stationary models with non-Gaussian innovations, linear stationary models with non-Gaussian;

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Non-Linear Time Series Models in Empirical Finance

more appropriate for forecasting and accurately describing returns and volatility. The enormous number of non-linear time series models;

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Non-Linear Time Series Models in Empirical Finance

more appropriate for forecasting and accurately describing returns and volatility. The enormous number of non-linear time series models;

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Advanced Structural Analysis

. the dynamic response analysis of non-linear system is based on the evaluation of the response for a series of short time intervals using;

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Stochastic Models for Time Series

This book presents essential tools for modelling non-linear time series. The first part of the book describes the main standard tools;

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Time Series Modelling in Earth Sciences

) extensions, the text also draws attention to non-linear methods, as well as state-space, dynamic linear, wavelet, volatility and long memory models;

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Non-Linear Differential Equations and Dynamical Systems

Non-Linear Differential Equations and Dynamical Systems is the second book within Ordinary Differential Equations with Applications to;

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Applied Econometric Times Series

-of-sample forecasting techniques, non-linear time-series models, Monte Carlo analysis, and bootstrapping. Numerous examples from fields ranging from;

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Non-Linear Time Series

should have attended a prior course on linear time series, and a good grasp of simulation-based inferential methods is recommended. This book;

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Time Series Modeling of Neuroscience Data

approach, in which dynamic models of all kinds, such as linear/nonlinear differential equation models and time series models, are used for;

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Statistical Inference for Financial Engineering

analyzing financial time series data. In order to describe the actual financial data, various stochastic processes, e.g. non-Gaussian linear;

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The Cambridge RF and Microwave Engineering Series

synthesizers; linear measurements, such as VNA calibrations, noise figure measurements, time domain reflectometry and multiport measurements; and non;

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Linear and Non-linear Stability Analysis in Boiling Water Reactors

Linear and Non-Linear Stability Analysis in Boiling Water Reactors: The Design of Real-Time Stability Monitors presents a thorough;

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Nonlinear Time Series Analysis

and methods and review the improvements upon linear time series models. The need for this book is based on the recent developments;

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Solitons in Macromolecular Systems

This book addresses the issue of non-linear problems that have dominated the forefront of physics. To analyse these problems, it;

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Business Cycle Fluctuations & Economic Policy

countries are analysed using non-linear time series and switching time series models as well as in-sample and jack-knife out-of-sample forecasts;

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New Nonlinear Optical Materials

Optical materials with large values of non-linear susceptibilities and fast responses are in great demand in industrial applications, such;

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Time Series Analysis

With a focus on analyzing and modeling linear dynamic systems using statistical methods, Time Series Analysis formulates various linear;

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Differential Equations

automorphic solutions for some non-linear differential equations; positive solutions for p-laplacian dynamic delay differential equations on time;

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Non-Linear Finite Element Analysis in Structural Mechanics

non-linearities), non-linear material behaviour, in particular elasto-plasticity as well as time-dependent behaviour, and contact. Based on;

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Progress in Financial Markets Research

methods, data mining, non-linear analysis, chaos and wavelet-based techniques.;

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Optimal Experimental Design for Non-Linear Models

This book tackles the Optimal Non-Linear Experimental Design problem from an applications perspective. At the same time it offers extensive;

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Linear and Non-Linear System Theory

Linear and Non-Linear System Theory focuses on the basics of linear and non-linear systems, optimal control and optimal estimation with an;

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Time Series Models

. The emphasis is on understanding how time series are analyzed and models constructed. Familiarity with calculus, linear algebra, and;

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Global Seismicity Dynamics and Data Driven Science

correlated seismicity rates, and (4) the minimal non-linear equations approximation of their correlated seismicity rate dynamics. Minimal non-linear;

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Global Seismicity Dynamics and Data Driven Science

correlated seismicity rates, and (4) the minimal non-linear equations approximation of their correlated seismicity rate dynamics. Minimal non-linear;

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