Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/45280 
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWagenvoort, Rienen
dc.date.accessioned2011-04-19-
dc.date.accessioned2011-04-29T08:06:12Z-
dc.date.available2011-04-29T08:06:12Z-
dc.date.issued2006-
dc.identifier.urihttp://hdl.handle.net/10419/45280-
dc.description.abstractWe extend the paper of Hinloopen and van Marrewijk (2005), who introduce the harmonic mass index to test whether two samples come from the same distribution, in the following directions. Firstly, we derive the Harmonic Weighted Mass (HWM) index for any number of samples. Secondly, this paper shows how to compute the HWM index without making any assumptions on the number of 'ties' (i.e. identical observations) within or between samples. Thirdly, we investigate ties with a Monte Carlo analysis, and find that the critical percentiles as reported in Hinloopen and van Marrewijk (2005), for two samples that are free of ties, are fairly accurate approximations of the HWM percentiles for two samples with ties when the sample size exceeds 50 observations. Furthermore, our results show that these percentiles are fairly accurate as well for cases where there are more than two samples.en
dc.language.isoengen
dc.publisher|aEuropean Investment Bank (EIB) |cLuxembourgen
dc.relation.ispartofseries|aEconomic and Financial Report |x2006/03en
dc.subject.jelC12en
dc.subject.jelC14en
dc.subject.ddc330en
dc.titleComparing distributions: the harmonic mass index: extension to m samples-
dc.typeWorking Paperen
dc.identifier.ppn65663314Xen
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

Files in This Item:
File
Size
267.62 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.