Wavelet Methods for Time Series Analysis

Cambridge University Press | 2000-07-24 | ISBN: 0521640687 | 620 pages | DJVU | 16 MB

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.




[Fast Download] Wavelet Methods for Time Series Analysis

Ebooks related to "Wavelet Methods for Time Series Analysis" :
Around and Beyond the Square of Opposition
An Introduction to Optimization
Calculus Without Derivatives (Graduate Texts in Mathematics)
Essentials of Probabilty & Statistics for Engineers & Scientists
College Algebra in Context, 4th Edition
Parallelisms of Complete Designs
Chaotic Dynamics: Theory and Applications to Economics
Handbook of Numerical Analysis: Finite Difference Methods, Part 1, Solution
Functions, Spaces, and Expansions
Rings, Hopf Algebras, and Brauer Groups: Lecture Notes in Pure and Applied M
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.