Wavelet Methods in Statistics with R [Paperback]

This book contains information on how to tackle many important problems using a multiscale statistical approach. It focuses on how to use multiscale methods and discusses methodological and applied considerations.

From the reviews:

This book is clearly written and well laid out.& This presentation successfully strikes a careful balance of keeping the presentation intuitive and straightforward, yet precise and accurate.& I am frequently asked by students or statistical researchers to recommend a book that would give them an introduction to wavelets.&Wavelet Methods in Statistics with R strikes an excellent balance,& Paired with the R package that implements the methods discussed in the book, this book is a useful tool for not just gaining background in the field but also equipping the reader to apply these methods to their own data sets. It is a book I will heartily recommend to statisticians looking for an entry point into the field of wavelets. (Jeffrey S. Morris, Biometrics, June 2009, 65)

The author provides the appropriate level of detail with which the novice reader can understand the background and theory underpinning wavelets together with allowing the reader to develop an appreciation of their associated advantages and disadvantages.

The author asks two pertinent questions: Why use wavelets? And Why use wavelets in statistics? For which he proceeds to provide answers; together with illustrative examples of the main uses of wavelets.

The text is interspersed with snippets of R code to illustrate the techniques presented and prove s the basis of an excellent text for private study. Reassuringly, for those readers merely interested in theoretical delc&