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Theory and Applications of Time Series Analysis

series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations;

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Advances in Time Series Methods and Applications

This volume reviews and summarizes some of A. I. McLeod's significant contributions to time series analysis. It also contains original;

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Advances in Chromatography, Volume 53

For more than four decades, scientists and researchers have relied on the Advances in Chromatography series for the most up-to-date;

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Theory and Applications of Time Series Analysis

, engineers, educators and students to discuss the latest advances and implementations in the field of time series analysis and forecasting. It;

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Recent Advances In Stochastic Modeling And Data Analysis

, sampling, linear and nonlinear models, networks and queues, survival analysis, and time series. The volume presents new results with potential for;

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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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Advances in Econometrics and Quantitative Economics

Advances in Econometrics and Quantitative Economics is a comprehensive guide to the statistical methods used in econometrics and;

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Recent Advances in Intuitionistic Fuzzy Logic Systems and Mathematics

scheduling, intelligent control, diagnostics and time series prediction. The book features selected contributions presented at the 6th international;

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Computational Intelligence-based Time Series Analysis

. This book aims to cover the recent advances in time series and applications of CI for time series analysis.;

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Handbook of Discrete-Valued Time Series

series of counts and incorporates frequentist and Bayesian approaches for discrete-valued spatio-temporal data and multivariate data. While the;

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Handbook of Discrete-Valued Time Series

series of counts and incorporates frequentist and Bayesian approaches for discrete-valued spatio-temporal data and multivariate data. While the;

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Recent Advances in Intuitionistic Fuzzy Logic Systems

real time scheduling, intelligent control, diagnostics and time series prediction. Chapters were carefully selected among contributions;

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Time Series Modeling of Neuroscience Data

Recent advances in brain science measurement technology have given researchers access to very large-scale time series data such as EEG/MEG;

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The Future of Educational Psychology

Originally published in 1989, this title for the first time in one volume, organized and discussed the fundamental advances in theory;

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The Future of Educational Psychology

Originally published in 1989, this title for the first time in one volume, organized and discussed the fundamental advances in theory;

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Time Series Analysis

Time Series Analysis, 2nd Edition is a thorough introduction to both time-domain and frequency-domain analyses of univariate and;

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Advances in Chromatography

For more than five decades, scientists and researchers have relied on the Advances in Chromatography series for the most up-to-date;

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Advances in Chromatography

For more than five decades, scientists and researchers have relied on the Advances in Chromatography series for the most up-to-date;

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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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Elements of Nonlinear Time Series Analysis and Forecasting

series. The book can be used in graduate courses in nonlinear time series and at the same time also includes interesting material for more;

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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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Handbook of Time Series Analysis

This handbook provides an up-to-date survey of current research topics and applications of time series analysis methods written by leading;

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Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications

normal) using a unified probability distribution function, and presents a fuzzy arithmetic-based time series model that provides an easy-to-use;

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Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications

normal) using a unified probability distribution function, and presents a fuzzy arithmetic-based time series model that provides an easy-to-use;

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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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Computational Methods for Electromagnetic Inverse Scattering

Offers the recent and most important advances in inverse scattering grounded in fundamental theory, algorithms and practical engineering;

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