@techreport{Vidakovic2004Transforms,
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).},
author = {Brani Vidakovic},
copyright = {http://www.econstor.eu/dspace/Nutzungsbedingungen},
keywords = {330},
language = {eng},
number = {2004,26},
title = {Transforms in Statistics},
type = {Papers / Humboldt-Universit\"{a}t Berlin, Center for Applied Statistics and Economics (CASE)},
url = {http://hdl.handle.net/10419/22199},
year = {2004}
}
