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Nonlinear Time Series Analysis

A comprehensive resource that draws a balance between theory and applications of nonlinear time series analysis Nonlinear Time Series;

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Nonlinear Econometric Modeling in Time Series Analysis

Nonlinear Econometric Modeling in Time Series presents the more recent literature on nonlinear time series. Specific topics covered with;

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Elements of Nonlinear Time Series Analysis and Forecasting

This book provides an overview of the current state-of-the-art of nonlinear time series analysis, richly illustrated with examples;

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Time Series Modeling of Neuroscience Data

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

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Modelling Nonlinear Economic Time Series

This book contains an extensive up-to-date overview of nonlinear time series models and their application to modelling economic;

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Recent Advances in Estimating Nonlinear Models

estimation techniques, offering new methods and insights into nonlinear time series analysis. It features cutting-edge research from leading;

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Nonlinear Time Series

Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention;

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Nonlinear Time Series

Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention;

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Exploration Of A Nonlinear World

Whittle, FRS, it celebrates Tong's path-breaking and tireless contributions to nonlinear time series analysis, chaos and statistics, by reprinting;

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Nonlinear Ocean Waves and the Inverse Scattering Transform

of linear wave trains. Nonlinear Ocean Waves and the Inverse Scattering Transform presents the development of the nonlinear Fourier analysis;

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The Analysis of Time Series

, implementation, and practice of time series analysis. The book covers a wide range of topics, including ARIMA models, forecasting methods, spectral;

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The Analysis of Time Series

, implementation, and practice of time series analysis. The book covers a wide range of topics, including ARIMA models, forecasting methods, spectral;

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Quantifying Dynamics of Physiological Signals

description of the underlying dynamics. This makes nonlinear analysis an invaluable tool for the analysis of physiological signals. Robust time series;

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Topics In Nonlinear Time Series Analysis, With Implications For Eeg Analysis

This book provides a thorough review of a class of powerful algorithms for the numerical analysis of complex time series data which were;

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Non-Linear Time Series

This book offers a useful combination of probabilistic and statistical tools for analyzing nonlinear time series. Key features of the book;

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Nonlinear Time Series Analysis

which do not seem to be inherently stochastic. The most direct link between chaos theory and the real world is the analysis of time series from;

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Nonlinear Time Series Analysis with R

Nonlinear Time Series Analysis with R provides a practical guide to emerging empirical techniques allowing practitioners to diagnose;

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Athens Conference on Applied Probability and Time Series Analysis

papers appear in two volumes.Volume II presents papers on time series analysis, many of which were contributed to a meeting in March 1995;

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A Course in Time Series Analysis

New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time;

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Time Series Analy By State Space Meth

This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis. The distinguishing feature;

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Nonlinear Modeling Analysis and Predistortion Algorithm Research of Radio Frequency Power Amplifiers

modeling (including neural Volterra series modeling, neural network modeling, X-parameter modeling), nonlinear analysis methods, and power;

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Complexity of Seismic Time Series

Complexity of Seismic Time Series: Measurement and Application applies the tools of nonlinear dynamics to seismic analysis, allowing;

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Chaos and Complex Systems

series analysis, neural networks, sociophysics and econophysics, complexity management and global systems.;

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Time Series Analysis

-varying variances, and nonlinear time series models. In addition, he presents basic tools for analyzing dynamic systems (including linear;

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Prediction of nonlinear nonstationary time series data

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Nonlinear Time Series

Designed for researchers and students, Nonlinear Times Series: Theory, Methods and Applications with R Examples familiarizes readers with;

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Time Series

theoretical worker. An extensive set of original exercises is included. Time Series: Data Analysis and Theory takes the Fourier transform of a stretch;

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