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Wavelet Methods in Statistics with R. Series: Use R! ▷ Provides a quick, up-to- date and clear reference to the discipline of wavelets and their uses in statistics.
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- Wavelet Methods in Statistics with R
- Wavelet Methods in Statistics with R - Guy Nason - Google Books
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Wavelet Methods in Statistics with R
Log out of Readcube. Click on an option below to access. Log out of ReadCube. Volume 65 , Issue 2. The full text of this article hosted at iucr. If you do not receive an email within 10 minutes, your email address may not be registered, and you may need to create a new Wiley Online Library account.
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Purchase Instant Access. Softcover Springer. I believe that the same can be said about wavelets.
Wavelets were introduced into statistics during the late s and early s, and they were initially popular in the curve estimation literature. From there they spread in di? The French Revolution was also the historical backdrop for the introd- tion of Fourier series which itself raised considerable objections from the s- enti?
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Despite those early objections, we? Wavelets are also a true s- enti? Some of their interesting features are easy to appreciate: e. Other important aspects, such as the unconditional basis property, deserve to be better known.
I hope that this book, in some small way, enables the creation of many new wavelet methods. Kundeninformationen Provides a quick, up-to-date and clear reference to the discipline of wavelets and their uses in statistics One of the few works that focuses on the utilities of wavelets in a wide statistical context, covering nonparametric regression, time series and variance stabilization Links with the new WaveThresh freeware R software package so that users can see how new wavelet statistical methods are used in practice.