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https://hdl.handle.net/10419/22199
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DC Field | Value | Language |
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dc.contributor.author | Vidakovic, Brani | en |
dc.date.accessioned | 2009-01-29T14:54:19Z | - |
dc.date.available | 2009-01-29T14:54:19Z | - |
dc.date.issued | 2004 | - |
dc.identifier.uri | http://hdl.handle.net/10419/22199 | - |
dc.description.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). | en |
dc.language.iso | eng | en |
dc.publisher | |aHumboldt-Universität zu Berlin, Center for Applied Statistics and Economics (CASE) |cBerlin | en |
dc.relation.ispartofseries | |aPapers |x2004,26 | en |
dc.subject.ddc | 330 | en |
dc.title | Transforms in Statistics | - |
dc.type | Working Paper | en |
dc.identifier.ppn | 495308161 | en |
dc.rights | http://www.econstor.eu/dspace/Nutzungsbedingungen | en |
dc.identifier.repec | RePEc:zbw:caseps:200426 | en |
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