Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/22199
Year of Publication: 
2004
Series/Report no.: 
Papers No. 2004,26
Publisher: 
Humboldt-Universität zu Berlin, Center for Applied Statistics and Economics (CASE), Berlin
Abstract: 
It is not an overstatement to say that statistics is based on various transformations of data. Basic statistical summaries such as the sample mean, variance, z-scores, histograms, etc., are all transformed data. Some more advanced summaries, such as principal components, periodograms, empirical characteristic functions, etc., are also examples of transformed data. To give a just coverage of transforms utilized in statistics will take a size of a monograph. In this chapter we will focus only on several important transforms with the emphasis on novel multiscale transforms (wavelet transforms and its relatives).
Document Type: 
Working Paper

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