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Singular Spectrum Analysis

) should be called the analysis of time series using the singular spectrum. Spectral decomposition of matrices is fundamental to much the ory;

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Singular Spectrum Analysis for Time Series

This book gives an overview of singular spectrum analysis (SSA). SSA is a technique of time series analysis and forecasting combining;

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Time-Series Analysis and Cyclostratigraphy

, cross-spectral analysis, filtering, complex demodulation, wavelet and singular spectrum analysis. Practical problems of time-series analysis;

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Analysis of Time Series Structure

Over the last 15 years, singular spectrum analysis (SSA) has proven very successful. It has already become a standard tool in climatic and;

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Singular Spectrum Analysis of Biomedical Signals

technology, particularly in measuring and assessing signals and images from the human body. This book focuses on singular spectrum analysis (SSA), an;

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Singular Spectrum Analysis of Biomedical Signals

technology, particularly in measuring and assessing signals and images from the human body. This book focuses on singular spectrum analysis (SSA), an;

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Multiscale Forecasting Models

Singular Spectrum Analysis (SSA) and Stationary Wavelet Transform (SWT). Although the flexibility of SSA and SWT allows their usage in a wide range;

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Multiscale Forecasting Models

Singular Spectrum Analysis (SSA) and Stationary Wavelet Transform (SWT). Although the flexibility of SSA and SWT allows their usage in a wide range;

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Multivariate Modelling of Non Stationary Economic Time Series

considered along with alternate methods such as Singular Spectrum Analysis (SSA), the Kalman Filter and Structural Time Series, all in relation to;

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Introduction To Time Series Analysis & F

background in mathematics and statistics. -MAA Reviews Thoroughly updated throughout, Introduction to Time Series Analysis and Forecasting, Second;

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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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Toeplitz Matrices, Convolution Operators, and Integral Equations

matrix theory, Fredholm theory and numerical analysis for singular integral equations, and efficient algorithms for linear systems with;

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Periodically Correlated Random Sequences

time series analysis for PC sequences, including estimation of the mean, correlation, and spectrum* A balanced blend of historical background;

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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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Time Series Analysis in Meteorology and Climatology: An Introduction

Time Series Analysis in Meteorology and Climatology provides an accessible overview of this notoriously difficult subject. Clearly;

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Analysis and Synthesis of Singular Systems

Analysis and Synthesis of Singular Systems provides a base for further theoretical research and a design guide for engineering applications;

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At Home With Autism

At Home with Autism: Designing Housing for the Spectrum introduces readers to conditions and aspirations of adults on the autism spectrum;

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Fourier Analysis

approaches to classical problems in the theory of trigonometric series, singular integrals/pseudo-differential operators, Fourier analysis on various;

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Theory and Applications of Time Series Analysis

; time series analysis with computational intelligence; and time series analysis and prediction for other real-world problems. Given this mix;

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A Course in Time Series Analysis

Course in Time Series Analysis is an important reference and a highly useful resource for researchers and practitioners in statistics, economics;

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Conference Harmonic Analysis, Volume II

trigonometric series, singular integrals and pseudodifferential operators, hardy spaces, differentiation theory, and partial differential equations.;

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Conference Harmonic Analysis, Volume II

trigonometric series, singular integrals and pseudodifferential operators, hardy spaces, differentiation theory, and partial differential equations.;

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Time Series Analysis in the Social Sciences

Times Series Analysis in the Social Sciences is a practical and highly readable introduction written exclusively for students and;

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Time Series Analysis in the Social Sciences

Times Series Analysis in the Social Sciences is a practical and highly readable introduction written exclusively for students and;

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Applied Time Series Analysis with R

package to aid in addressing time series problems in a broad spectrum of fields. The material is organized in an optimal format for graduate;

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Applied Time Series Analysis with R

package to aid in addressing time series problems in a broad spectrum of fields. The material is organized in an optimal format for graduate;

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Fourier Analysis

approaches to classical problems in the theory of trigonometric series, singular integrals/pseudo-differential operators, Fourier analysis on various;

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