EconPapers    
Economics at your fingertips  
 

Transforms in Statistics

Brani Vidakovic

No 2004,26, Papers from Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE)

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).

Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/22199/1/26_bv.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:caseps:200426

Access Statistics for this paper

More papers in Papers from Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE) Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().

 
Page updated 2018-11-24
Handle: RePEc:zbw:caseps:200426