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Statistics And Finance

Kong in July 1999. Topics covered include heavy-tailed and nonlinear continuous-time ARMA models for financial time series, and forecast;

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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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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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Modelling Nonlinear Economic Time Series

-economic data. Since estimation of nonlinear time series models is carried out using numerical algorithms, the book contains a chapter on;

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A Nonlinear Time Series Workshop

The analysis ofwhat might be called dynamic nonlinearity in time series has its roots in the pioneering work ofBrillinger (1965) - who;

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Recent Advances in Estimating Nonlinear Models

Nonlinear models have been used extensively in the areas of economics and finance. Recent literature on the topic has shown that a large;

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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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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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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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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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Exploration Of A Nonlinear World

relatively new subject of nonlinear time series. Tong has played a leading role in laying the foundation of the subject; his innovative and;

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Prediction of nonlinear nonstationary time series data

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Time Series Prediction

The book is a summary of a time series forecasting competition that was held a number of years ago. It aims to provide a snapshot of the;

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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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Nonlinear Problems in Accelerator Physics, Proceedings of the INT workshop on nonlinear problems in accelerator physics held in Berlin, Germany, 30 March - 2 April, 1992

Nonlinear Problems in Accelerator Physics contains the proceedings of the International Workshop on Nonlinear Problems in Accelerator;

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Nonlinear Stochastic Control and Filtering with Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Nonlinear Stochastic Control and Filtering With Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Nonlinear Economic Models Crosssectional, Time Series and Neural Network Applications

research area, as well as presenting the results of new and original research. Nonlinear Economic Models provides a sequel to Chaos and Nonlinear;

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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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Intermittency in Turbulent Flows

The dynamics of many nonlinear systems gravitate around a few common central themes: intermittency, order/coherence and disorder. These;

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Intermittency in Turbulent Flows

The dynamics of many nonlinear systems gravitate around a few common central themes: intermittency, order/coherence and disorder. These;

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Nonlinear Ocean Waves and the Inverse Scattering Transform

of measured space and time series, which can be found in a wide variety of physical settings including surface water waves, internal waves, and;

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Mathematical Control Theory I

This treatment of modern topics related to mathematical systems theory forms the proceedings of a workshop, Mathematical Systems Theory;

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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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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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