Name: Wavelet Methods for Time Series Analysis Paperback (Cambridge Series in Statistical and Probabilistic Mathematics) (en Inglés)
SKU: 3229945
Price: 104.56 USD
Availability: InStock
Author: Donald B. Percival
ISBN: 9780521685085

portada Wavelet Methods for Time Series Analysis Paperback (Cambridge Series in Statistical and Probabilistic Mathematics) (en Inglés)

Wavelet Methods for Time Series Analysis Paperback (Cambridge Series in Statistical and Probabilistic Mathematics) (en Inglés)

Formato

Libro Físico

Editorial

Cambridge University Press

Autor

Donald B. Percival

Año

2006

Idioma

Inglés

N° páginas

594

Encuadernación

Tapa Blanda

Peso

2.35

ISBN

9780521685085

ISBN13

9780521685085

N° edición

Categorías

Probabilidad y estadística

Wavelet Methods for Time Series Analysis Paperback (Cambridge Series in Statistical and Probabilistic Mathematics) (en Inglés)

Donald B. Percival (Autor) · Cambridge University Press · Tapa Blanda

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Reseña del libro "Wavelet Methods for Time Series Analysis Paperback (Cambridge Series in Statistical and Probabilistic Mathematics) (en Inglés)"

The analysis of time series data is essential to many areas of science, engineering, finance and economics. 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. Author resource page: http://faculty.washington.edu/dbp/wmtsa.html