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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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Nonlinear Econometric Modeling in Time Series Analysis

addresses topics with major applications for fields such as foreign-exchange markets and interest rate analysis. Eleventh in this series;

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Time Series Modeling of Neuroscience Data

applications to signal detection problems in EEG data analysis An innovation-based method for the characterization of nonlinear and/or non-Gaussian;

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Nonlinear Time Series Analysis

nonlinear and non-Gaussian state space models provide a much wider range of tools for time series analysis. In addition, advances in computing and;

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EEG-Based Brain-Computer Interfaces

EEG-Based Brain-Computer Interface: Cognitive Analysis and Control Applications provides a technical approach to using brain signals for;

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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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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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The Econometric Analysis of Seasonal Time Series

economic time series, summarizing a decade of theoretical advances in the area. The authors discuss the asymptotic distribution theory for linear;

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Athens Conference on Applied Probability and Time Series Analysis

series analysis. Other papers discuss methods for finite parameter Gaussian models, time series with infinite variance or stable marginal;

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Time Series Analysis and Forecasting by Example

An intuition-based approach enables you to master time series analysis with ease Time Series Analysis and Forecasting by Example provides;

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New Topics in Simulation and Modeling of RF Circuits

circuit models of power BAW resonators. The behavioral models for the time domain analysis are simple circuits containing weakly nonlinear;

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A Course in Time Series Analysis

literature and presents a unified view of the most advanced procedures available for time series model building. The authors begin with basic;

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Nonlinear Biomedical Signal Processing, Volume 1

analysis methods to measure glucose concentration Nonlinear Biomedical Signal Processing, Volume I is a valuable reference tool for;

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Multivariate Time Series Analysis and Applications

analysis of time series. With the development of computers and the internet, we have increased potential for data exploration. In the next few;

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EEG/ERP Analysis

analysis. Covers a wide range of EEG/ERP applications with state-of-the-art techniques for denoising, analysis, and classification Examines;

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EEG/ERP Analysis

analysis. Covers a wide range of EEG/ERP applications with state-of-the-art techniques for denoising, analysis, and classification Examines;

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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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The Analysis of Time Series

practice of time series analysis. With each successive edition, bestselling author Chris Chatfield has honed and refined his presentation, updated;

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EEG Signal Analysis and Classification

methods are not capable of managing the size of EEG data. Addressing the issue, this book examines new EEG signal analysis approaches with a;

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Time Series Analysis

features that include: * A redesigned chapter on multivariate time series analysis with an expanded treatment of Vector Autoregressive, or VAR;

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Computer Methods for Analysis of Mixed-Mode Switching Circuits

Computer Methods for Analysis of Mixed-Mode Switching Circuits provides an in-depth treatment of the principles and implementation details;

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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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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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An Introduction to Nonlinear Analysis

An Introduction to Nonlinear Analysis: Theory is an overview of some basic, important aspects of Nonlinear Analysis, with an emphasis on;

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Multiscale Analysis of Complex Time Series

developed for data analysis. Until now, there has been no single book that encompasses all of the basic concepts necessary for researchers to fully;

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