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dc.contributor.authorMach, Pavel
dc.contributor.authorThuring, Josef
dc.contributor.authorŠámal, David
dc.date.accessioned2012-07-04T08:10:46Z
dc.date.available2012-07-04T08:10:46Z
dc.date.issued2006-05
dc.identifier.citationMach, P. - Thuring, J. - Šámal, D. Transformation of Data for Statistical Processing. In: 29th International Spring Seminar on Electronics Technology [CD-ROM]. New York: IEEE, 2006, p. 388-392. ISBN 978-1-4244-0550-3.cze
dc.identifier.urihttp://hdl.handle.net/10467/9603
dc.description.abstractThe use of many statistical tools depends on normality of processed data. There are different methods for transformation of non-normally distributed data sets toward to normally distributed ones. The goal of the work has been to investigate usability of four types of transformations (Box-Cox, exponential, power and logarithmic) for transformation of data sets with four non-normal distributions (logarithmic-normal, exponential, gamma, and Weibull) toward to normally distributed data. The usability and efficiency of individual transformation functions for transformation of data sets with different types of distributions have been found.eng
dc.language.isocescze
dc.publisherIEEEcze
dc.rights© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.eng
dc.titleTransformation of Data for Statistical Processingcze
dc.typepříspěvek z konference - elektronickýcze
dc.identifier.doi10.1109/ISSE.2006.365112


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