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dc.contributor.authorChmielińska, Magdalenapl_PL
dc.date.accessioned2015-12-02T16:00:11Z
dc.date.available2015-12-02T16:00:11Z
dc.date.issued2014pl_PL
dc.identifier.issn0208-6018pl_PL
dc.identifier.urihttp://hdl.handle.net/11089/14881
dc.description.abstractThe control chart is a tool of statistical quality control, which is widely used in production. The fulfillment of its basic assumptions, guarantees flawless assessment of correctness of the monitored process. The purpose of this paper is to pay attention to the need to verify the assumptions of the used method and the effects of its unauthorized use, in case of not meeting its assumptions. In this paper a method that uses a family of stable distributions to estimate the unknown probability density of monitored diagnostic variable, is proposed. The estimated density function is the basis for determining the control limits.en_US
dc.language.isoenen_US
dc.publisherWydawnictwo Uniwersytetu Łódzkiegoen_US
dc.relation.ispartofseriesActa Universitatis Lodziensis, Folia Oeconomica; 302pl_PL
dc.titleUsing the Stable Distribution to Monitor a Process, which Distribution is Unknownen_US
dc.typeArticleen_US
dc.contributor.authorEmailchmielinska.magda@gmail.compl_PL


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