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015    GBB6H3876|2bnb 
016 7  017581984|2Uk 
019    646827644|a901691177|a1103260637|a1129350987|a1162535392 
020    9780122796708|q(electronic bk.) 
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020    9780080509228|q(electronic bk.) 
020    0080509223|q(electronic bk.) 
020    1282284797 
020    9781282284791 
020    9786612284793 
020    661228479X 
020    |q(alk. paper) 
020    |q(alk. paper) 
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049    INap 
082 04 330.01/5152433 
082 04 330.01/5152433|222 
099    eBook O’Reilly for Public Libraries 
100 1  Gençay, Ramazan,|eauthor. 
245 13 An introduction to wavelets and other filtering methods in
       finance and economics /|cRamazan Gençay, Faruk Selçuk, 
       Brandon Whitcher.|h[O'Reilly electronic resource] 
264  1 San Diego, Calif. :|bAcademic Press, an imprint of 
       Elsevier,|c[2002] 
264  4 |c©2002 
300    1 online resource (xxii, 359 pages) :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    data file 
504    Includes bibliographical references and index. 
505 0  Preface -- Introduction -- Linear filters -- Optimum 
       linear estimation -- Discrete wavelet transforms -- 
       Wavelets and stationary processes -- Wavelet denoising -- 
       Wavelets for variance-covariance estimation -- Artificial 
       neural networks. 
520    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. 
546    English. 
588 0  Online resource; title from electronic title page 
       (EBSCOhost, viewed March 20, 2018). 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Finance|xMathematical models. 
650  0 Economics|xMathematical models. 
650  0 Wavelets (Mathematics) 
650  0 Econometrics. 
650  6 Finances|xModèles mathématiques. 
650  6 Économie politique|xModèles mathématiques. 
650  6 Ondelettes. 
650  6 Économétrie. 
650  7 Econometrics|2fast 
650  7 Economics|xMathematical models|2fast 
650  7 Finance|xMathematical models|2fast 
650  7 Wavelets (Mathematics)|2fast 
650 17 Wavelets.|2gtt 
650 17 Econometrische modellen.|2gtt 
650 17 Tijdreeksen.|2gtt 
650 17 Stochastische filters.|2gtt 
700 1  Selçuk, Faruk,|eauthor. 
700 1  Whitcher, Brandon,|eauthor. 
776 08 |iPrint version:|aGençay, Ramazan.|tIntroduction to 
       wavelets and other filtering methods in finance and 
       economics.|dSan Diego, Calif. : Academic Press, ©2002
       |z9780122796708|w(DLC)  2001094298|w(OCoLC)48241811 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9780122796708/?ar
       |zAvailable on O'Reilly for Public Libraries 
938    ProQuest Ebook Central|bEBLB|nEBL452843 
938    ebrary|bEBRY|nebr10329501 
938    EBSCOhost|bEBSC|n297032 
938    YBP Library Services|bYANK|n3101653 
994    92|bJFN