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Physical Applications of Stationary Time-Series

Physical Applications of Stationary Time-Series
Author: Enders A. Robinson
Publisher: Oxford University Press, USA
Total Pages: 313
Release: 1980
Genre: Seismology
ISBN: 9780195205831

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Statistical Analysis of Stationary Time Series

Statistical Analysis of Stationary Time Series
Author: Ulf Grenander
Publisher: American Mathematical Soc.
Total Pages: 312
Release: 2008-05
Genre: Mathematics
ISBN: 0821844377

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Written in the terminology of the theoretical statistician, this book presents an approach to time series analysis. It presents a unified treatment of methods that are being used in the physical sciences and technology.


Wavelet Methods for Time Series Analysis

Wavelet Methods for Time Series Analysis
Author: Donald B. Percival
Publisher: Cambridge University Press
Total Pages: 628
Release: 2000
Genre: Computers
ISBN: 9780521685085

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This introduction to wavelet analysis 'from the ground level and up', and to wavelet-based statistical analysis of time series focuses on practical discrete time techniques, with detailed descriptions of the theory and algorithms needed to understand and implement the discrete wavelet transforms. Numerous examples illustrate the techniques on actual time series. The many embedded exercises - with complete solutions provided in the Appendix - allow readers to use the book for self-guided study. Additional exercises can be used in a classroom setting. A Web site offers access to the time series and wavelets used in the book, as well as information on accessing software in S-Plus and other languages. Students and researchers wishing to use wavelet methods to analyze time series will find this book essential.


Digital Signal Processing and Spectral Analysis for Scientists

Digital Signal Processing and Spectral Analysis for Scientists
Author: Silvia Maria Alessio
Publisher: Springer
Total Pages: 900
Release: 2015-12-09
Genre: Technology & Engineering
ISBN: 3319254685

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This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. The approach is practical, the aim being to acquaint the reader with the indications for and drawbacks of the various methods and to highlight possible misuses. The book is rich in original ideas, visualized in new and illuminating ways, and is structured so that parts can be skipped without loss of continuity. Many examples are included, based on synthetic data and real measurements from the fields of physics, biology, medicine, macroeconomics etc., and a complete set of MATLAB exercises requiring no previous experience of programming is provided. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient. Where more advanced mathematical tools are necessary, they are included in an Appendix and presented in an easy-to-follow way. With this book, digital signal processing leaves the domain of engineering to address the needs of scientists and scholars in traditionally less quantitative disciplines, now facing increasing amounts of data.


Time Series Analysis: Methods and Applications

Time Series Analysis: Methods and Applications
Author: Tata Subba Rao
Publisher: Elsevier
Total Pages: 778
Release: 2012-06-26
Genre: Mathematics
ISBN: 0444538585

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'Handbook of Statistics' is a series of self-contained reference books. Each volume is devoted to a particular topic in statistics, with volume 30 dealing with time series.


Handbook of Statistics

Handbook of Statistics
Author:
Publisher: Elsevier
Total Pages: 776
Release: 2012-05-18
Genre: Mathematics
ISBN: 0444538631

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The field of statistics not only affects all areas of scientific activity, but also many other matters such as public policy. It is branching rapidly into so many different subjects that a series of handbooks is the only way of comprehensively presenting the various aspects of statistical methodology, applications, and recent developments. The Handbook of Statistics is a series of self-contained reference books. Each volume is devoted to a particular topic in statistics, with Volume 30 dealing with time series. The series is addressed to the entire community of statisticians and scientists in various disciplines who use statistical methodology in their work. At the same time, special emphasis is placed on applications-oriented techniques, with the applied statistician in mind as the primary audience. Comprehensively presents the various aspects of statistical methodology Discusses a wide variety of diverse applications and recent developments Contributors are internationally renowened experts in their respective areas


Nonstationary Stochastic Processes And Their Applications - Proceedings Of The Workshop

Nonstationary Stochastic Processes And Their Applications - Proceedings Of The Workshop
Author: Abolghassem G Miamee
Publisher: World Scientific
Total Pages: 298
Release: 1992-08-08
Genre:
ISBN: 9814554502

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The purpose of the workshop was to bring together researchers working in a broad spectrum of nonstationary stochastic processes to present their findings and techniques for analyzing the growing field of nonstationary stochastic processes. Researchers from both engineering and mathematics communities shared their sometimes different, but complementing, point of views on the recent developments in the theory and applications of nonstationary stochastic processes. As such, this volume will be of interest to mathematicians, probabilists, and engineers, and it is hoped that this will stimulate a significant amount of research in this field.


Applied Nonlinear Time Series Analysis: Applications In Physics, Physiology And Finance

Applied Nonlinear Time Series Analysis: Applications In Physics, Physiology And Finance
Author: Michael Small
Publisher: World Scientific
Total Pages: 261
Release: 2005-03-28
Genre: Science
ISBN: 981448122X

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Nonlinear time series methods have developed rapidly over a quarter of a century and have reached an advanced state of maturity during the last decade. Implementations of these methods for experimental data are now widely accepted and fairly routine; however, genuinely useful applications remain rare. This book focuses on the practice of applying these methods to solve real problems.To illustrate the usefulness of these methods, a wide variety of physical and physiological systems are considered. The technical tools utilized in this book fall into three distinct, but interconnected areas: quantitative measures of nonlinear dynamics, Monte-Carlo statistical hypothesis testing, and nonlinear modeling. Ten highly detailed applications serve as case studies of fruitful applications and illustrate the mathematical techniques described in the text.