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An introduction to wavelets and othe...
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Whitcher, Brandon.
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An introduction to wavelets and other filtering methods in finance and economics
Record Type:
Language materials, printed : Monograph/item
Title/Author:
An introduction to wavelets and other filtering methods in finance and economics/ Ramazan Gen�cay, Faruk Sel�cuk, Brandon Whitcher.
Author:
Gen�cay, Ramazan.
other author:
Whitcher, Brandon.
Published:
San Diego, Calif. :Academic Press, : c2002.,
Description:
xxii, 359 p. :ill. ;24 cm.
[NT 15003449]:
Preface -- Introduction -- Linear Filters -- Optimum Linear Estimation -- Discrete Wavelet Transforms -- Wavelets and Stationary Processes -- Wavelet Denoising -- Wavelets for Variance-Covariance Estimation -- Artificial Neural Networks.
Subject:
Econometrics. -
Online resource:
http://www.sciencedirect.com/science/book/9780122796708An electronic book accessible through the World Wide Web; click for information
Online resource:
http://www.loc.gov/catdir/toc/els031/2001094298.html
Online resource:
http://www.loc.gov/catdir/description/els031/2001094298.html
ISBN:
0122796705
An introduction to wavelets and other filtering methods in finance and economics
Gen�cay, Ramazan.
An introduction to wavelets and other filtering methods in finance and economics
[electronic resource] /Ramazan Gen�cay, Faruk Sel�cuk, Brandon Whitcher. - San Diego, Calif. :Academic Press,c2002. - xxii, 359 p. :ill. ;24 cm.
Includes bibliographical references (p. 323-348) and index.
Preface -- Introduction -- Linear Filters -- Optimum Linear Estimation -- Discrete Wavelet Transforms -- Wavelets and Stationary Processes -- Wavelet Denoising -- Wavelets for Variance-Covariance Estimation -- Artificial Neural Networks.
An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified view of filtering techniques with a special focus on wavelet analysis in finance and economics. It emphasizes the methods and explanations of the theory that underlies them. It also concentrates on exactly what wavelet analysis (and filtering methods in general) can reveal about a time series. It offers testing issues which can be performed with wavelets in conjunction with the multi-resolution analysis. The descriptive focus of the book avoids proofs and provides easy access to a wide spectrum of parametric and nonparametric filtering methods. Examples and empirical applications will show readers the capabilities, advantages, and disadvantages of each method. *The first book to present a unified view of filtering techniques *Concentrates on exactly what wavelets analysis and filtering methods in general can reveal about a time series *Provides easy access to a wide spectrum of parametric and non-parametric filtering methods.
Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2008.
Mode of access: World Wide Web.
ISBN: 0122796705
Source: 89168:89168Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:
542934
Econometrics.
Index Terms--Genre/Form:
542853
Electronic books.
LC Class. No.: HG106 / .G46 2002eb
Dewey Class. No.: 330/.01/5152433
An introduction to wavelets and other filtering methods in finance and economics
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Ramazan Gen�cay, Faruk Sel�cuk, Brandon Whitcher.
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c2002.
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Academic Press,
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xxii, 359 p. :
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ill. ;
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24 cm.
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Includes bibliographical references (p. 323-348) and index.
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Preface -- Introduction -- Linear Filters -- Optimum Linear Estimation -- Discrete Wavelet Transforms -- Wavelets and Stationary Processes -- Wavelet Denoising -- Wavelets for Variance-Covariance Estimation -- Artificial Neural Networks.
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An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified view of filtering techniques with a special focus on wavelet analysis in finance and economics. It emphasizes the methods and explanations of the theory that underlies them. It also concentrates on exactly what wavelet analysis (and filtering methods in general) can reveal about a time series. It offers testing issues which can be performed with wavelets in conjunction with the multi-resolution analysis. The descriptive focus of the book avoids proofs and provides easy access to a wide spectrum of parametric and nonparametric filtering methods. Examples and empirical applications will show readers the capabilities, advantages, and disadvantages of each method. *The first book to present a unified view of filtering techniques *Concentrates on exactly what wavelets analysis and filtering methods in general can reveal about a time series *Provides easy access to a wide spectrum of parametric and non-parametric filtering methods.
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2008.
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based on 0 review(s)
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W9061136
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