Isbn: 9780521640688 - wavelet methods for time series analysis (cambridge series in statistical and probabilistic mathematics, 4) (3 Ergebnisse)

Sprache: Englisch
Verlag: Cambridge University Press, 2000
Serie: Buch 16 von 64 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
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Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Sprache: Englisch
Verlag: Cambridge University Press, 2000
Serie: Buch 16 von 64 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes KönigreichWorldofBooks
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Hardback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Sprache: Englisch
Verlag: Cambridge University Press, 2000
Serie: Buch 16 von 64 - Cambridge Series in Statistical and Probabilistic Mathematics
- Hardcover
Anbieter: World of Books (was SecondSale), Montgomery, IL, USAWorld of Books (was SecondSale)
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Hardback. Zustand: Good. 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.…