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dc.contributor.authorBaszczyńska, Aleksandrapl_PL
dc.contributor.authorPekasiewicz, Dorotapl_PL
dc.date.accessioned2015-12-02T16:00:09Z
dc.date.available2015-12-02T16:00:09Z
dc.date.issued2014pl_PL
dc.identifier.issn0208-6018pl_PL
dc.identifier.urihttp://hdl.handle.net/11089/14870
dc.description.abstractIn the paper chosen statistical methods concerning analysis of random variable distributions are presented. Investigating modality of distribution is one of the most interesting and important stages in random variable analysis. Among others, the following methods can be used: kernel density estimation, the Hartigan test of unimodality and the biavarage. The example showing application of these methods from the one-day-ahead market of electricity is presented.en_US
dc.language.isoenen_US
dc.publisherWydawnictwo Uniwersytetu Łódzkiegoen_US
dc.relation.ispartofseriesActa Universitatis Lodziensis, Folia Oeconomica; 302pl_PL
dc.titleBIAVERAGE AND MULIMODALITY IN INVESTIGATING DISTRIBUTION OF ELECTRICITY PRICESen_US
dc.typeArticleen_US
dc.contributor.authorEmailalbasz@uni.lodz.plpl_PL
dc.contributor.authorEmailpekasiewicz@uni.lodz.plpl_PL


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