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Spectral Analysis for Univariate Time Series

Spectral analysis is widely used to interpret time series collected in diverse areas. This book covers the statistical theory behind;

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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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Time Series Analysis

useful reference for those in applied sciences where analysis and research of time series is useful. Its plentiful examples show the operational;

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Digital Spectral Analysis

for the understanding of spectral analysis are discussed in the first four chapters: fundamentals, digital signal processing, estimation;

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Spectral Analysis and Time Series, Two-Volume Set

Covers spectral analysis that is closely intertwined with the 'time domain' approach, elementary notions of Hilbert Space Theory, basic;

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Multi-scale Spectral Analysis in Hydrology

series. It presents spectral analysis methods for hydrological applications through a wide variety of illustrative case studies including Wavelet;

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Elements of Time Series Econometrics: An Applied Approach - Third Edition

application of theoretical tools, Elements of Time Series Econometrics is an approachable guide for the econometric analysis of time series. The text;

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Spectral Analysis for Physical Applications

weight to both algorithms and statistical theory and is valuable for the many examples it gives showing the application of spectral analysis to;

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Spectral Analysis for Physical Applications

weight to both algorithms and statistical theory and is valuable for the many examples it gives showing the application of spectral analysis to;

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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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Time Series Analysis

-life time series data sets. The book also introduces univariate and multivariate time series models and methods which are useful for analyzing;

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Time Series Algorithms Recipes

This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem;

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Time Series and Panel Data Econometrics

This book is concerned with recent developments in time series and panel data techniques for the analysis of macroeconomic and financial;

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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

Applied Time Series: Analysis and Forecasting provides the theories methods and tools for necessary modeling and forecasting of time series;

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Applied Time Series Analysis

Written for those who need an introduction, Applied Time Series Analysis reviews applications of the popular econometric analysis;

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Time Series Models

Time Series Models is a companion volume to Andrew Harvey's highly successful Econometric Analysis of Time Series. It takes students to;

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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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Linear Time Series with MATLAB and OCTAVE

This book presents an introduction to linear univariate and multivariate time series analysis, providing brief theoretical insights into;

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Linear Time Series with MATLAB and Octave

This book presents an introduction to linear univariate and multivariate time series analysis, providing brief theoretical insights into;

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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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Time Series in Economics and Finance

This book presents the principles and methods for the practical analysis and prediction of economic and financial time series. It covers;

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Time Series in Economics and Finance

This book presents the principles and methods for the practical analysis and prediction of economic and financial time series. It covers;

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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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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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Spectral Methods Using Multivariate Polynomials On The Unit Ball

analysis of spectral methods for linear and nonlinear boundary value problems Suitable for researchers and students in numerical analysis;

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