Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/853
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dc.contributor.authorHaitun, S.D.-
dc.date.accessioned2005-06-21T16:00:46Z-
dc.date.available2005-06-21T16:00:46Z-
dc.date.issued1990-
dc.identifier.citationEgghe, L. & Rousseau, R. (Ed.) Informetrics 89/90, Belgium : Diepenbeek, p. 149-161-
dc.identifier.issn0-444-88460-2-
dc.identifier.urihttp://hdl.handle.net/1942/853-
dc.description.abstractThe use of Gaussian distributions in approximations of samples of non-Gaussian populations leads to irreproducible results. Non-Gaussian distribution ~ should be used i n these cases. The criteria of Gaussianhon-Gaussian nature for distributions are distinct , thus making it possible to unequivocally show which distribution and at which values o f parameters i s Gaussianlnon-Gaussian. For populations, the criteria are more blurred. An alternative is to use only Zipfian distributions as approximations. The correctness o f various distributions (GIGP, GW etc) and the methods of their use in informetrics and scientometrics is analysed.-
dc.format.extent312793 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherElsevier-
dc.titleCriteria of Gaussian/non-Gaussian nature of distrubution and populations-
dc.typeProceedings Paper-
local.type.specifiedProceedings Paper-
dc.bibliographicCitation.oldjcat-
item.fulltextWith Fulltext-
item.contributorHaitun, S.D.-
item.fullcitationHaitun, S.D. (1990) Criteria of Gaussian/non-Gaussian nature of distrubution and populations. In: Egghe, L. & Rousseau, R. (Ed.) Informetrics 89/90, Belgium : Diepenbeek, p. 149-161.-
item.accessRightsClosed Access-
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