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Spectral Analysis and Time Series, Two-Volume Set

probability theory, and practical analysis of time series data.;

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Spectral Analysis for Univariate Time Series

spectral analysis and provides data analysts with the tools needed to transition theory into practice. Actual time series from oceanography;

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Spectral Analysis of Quantum Hamiltonians

This volume contains surveys as well as research articles broadly centered on spectral analysis. Topics range from spectral continuity for;

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Digital Spectral Analysis

in spectral analysis, and time-series models. An entire chapter is devoted to the non-parametric methods most widely used in industry. High resolution;

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Essays in Econometrics

of time series analysis. The papers assembled in this volume explore topics in spectral analysis, seasonality, nonlinearity, methodology, and;

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Essays in Econometrics

of time series analysis. The papers assembled in this volume explore topics in spectral analysis, seasonality, nonlinearity, methodology, and;

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Essays in Econometrics

of time series analysis. The papers assembled in this volume explore topics in spectral analysis, seasonality, nonlinearity, methodology, and;

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Multi-scale Spectral Analysis in Hydrology

presents a detailed description and application of multiscale time-frequency characterization tool for the spectral analysis of hydrological time;

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Spectral Analysis of Signals

astronomical time series analysis to synthetic aperture radar imaging with angular diversity. For spectral estimation in the missing-data case, the;

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Using Time Series to Analyze Long-Range Fractal Patterns

integrated moving average models, and power spectral density analysis. He demonstrates the methods through two kinds of examples: simulations that;

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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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Time Series Analysis in Climatology and Related Sciences

contains many examples in different areas of time series analysis such as autoregressive modelling and spectral analysis, linear extrapolation;

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Spectral Analysis

This book deals with these parametric methods, first discussing those based on time series models, Capon's method and its variants, and;

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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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Digital Spectral Analysis with Applications

Digital Spectral Analysis offers a broad perspective of spectral estimation techniques and their implementation. Coverage includes spectral;

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Modern NMR Approaches to Natural Products Structure Elucidation

optimized and future hardware and experimental approaches to obtain both the highest quality and most appropriate spectral data for analysis. Volume;

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Models for Dependent Time Series

, applicable, and statistically valid conclusions from multivariate (or vector) time series data. The first four chapters discuss the two main;

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Models for Dependent Time Series

, applicable, and statistically valid conclusions from multivariate (or vector) time series data. The first four chapters discuss the two main;

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Periodically Correlated Random Sequences

Uniquely combining theory, application, and computing, this book explores the spectral approach to time series analysis The use;

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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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Multidimensional Stationary Time Series

. * Provides a unified treatment for time and frequency domain inferences by using machinery of complex and harmonic analysis, spectral and Smith;

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Spectral Theory And Nonlinear Analysis With Applications To Spatial Ecology

This volume details some of the latest advances in spectral theory and nonlinear analysis through various cutting-edge theories on;

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Multivariate Time Series Analysis and Applications

, it provides readers with information on factor analysis of multivariate time series, multivariate GARCH models, and multivariate spectral;

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The Analysis of Time Series

The analysis of time series can be a difficult topic, but as this book has demonstrated for two-and-a-half decades, it does not have to be;

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Geometric and Computational Spectral Theory

differential geometry, mathematical physics and numerical analysis, bringing together the theoretical and computational approaches to spectral theory;

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Auditory Spectral Processing

spectral information required for speech and music perception Examines a series of issues that relate to the role of spectral analysis;

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